ベクトル検索クエリの実行

Atlas Vector Search クエリは集計パイプラインステージの形式をとります。 $vectorSearchクエリの場合、Atlas Vector Search はセマンティック検索の結果を返します。

注意

Atlas Vector Search で近似最近傍探索をサポートしているのは、MongoDB v6.0.11、または v7.0.2 以降を実行しているクラスターです。また、厳密最近傍探索をサポートしているのは、MongoDB v6.0.16、v7.0.10、またはv7.3.2 以降を実行しているクラスターです。

定義

$vectorSearchステージは、指定されたフィールド内のベクトルに対してANNまたはENN検索を実行します。

ANN 検索

ANN 検索では、Atlas ベクトル検索は、多次元空間での近接性と考慮事項の数に基づいて、クエリ内のベクトル埋め込みに最も近いデータ内のベクトル埋め込みを検索します。 Hierarchical Navigable Small Worlds アルゴリズムを使用し、すべてのベクトルをスキャンすることなく、クエリ内のベクトル埋め込みに最も類似するベクトル埋め込みを見つけます。したがって、Ann 検索は、重要なフィルタリングなしで大規模なデータセットをクエリするのに最適です。

注意

近似最近傍探索検索における最適な再現率では、通常、厳密最近傍探索検索と重複する結果は 90-95% 程度とされていますが、レイテンシは大幅に下がります。精度とパフォーマンスの適切なバランスを保ちます。Atlas Vector Search でこの再現率を達成するには、クエリ時に numCandidates パラメーターを調整します。

ENN 検索

EXN検索では、Atlas Vector Search は、すべての埋め込み間の距離を計算して、すべてのインデックス作成されたベクトル埋め込みを網羅的に検索し、クエリに埋め込まれたベクトル埋め込みの完全最近傍を見つけます。計算負荷が高く、クエリのレイテンシに悪影響を与える可能性があります。したがって、次のユースケースにはUNIX検索が推奨されます。

厳密最近傍探索クエリの理想的で正確な結果を使用して、近似最近傍探索クエリの再現率と精度を決定したい場合。
考慮する最近傍の数を調整する必要なしに、 10000未満のドキュメントをクエリしたい場合
データの5 % 未満が指定されたプレフィルターを満たすコレクションに対して、クエリに選択的なプレフィルターを含めたい。

自動量子化を有効にすると、Atlas Vector Search は厳密最近傍探索クエリに忠実なベクトルのみを使用します。

構文

検索するフィールドは、 vectorSearch インデックスタイプ内で Atlas Vector Search ベクトルタイプとしてインデックス付けする必要があります。

$vectorSearch

$vectorSearchパイプラインには次のプロトタイプ形式があります。

{
  "$vectorSearch": {
    "exact": true | false,
    "filter": {<filter-specification>},
    "index": "<index-name>",
    "limit": <number-of-results>,
    "numCandidates": <number-of-candidates>,
    "path": "<field-to-search>",
    "queryVector": [<array-of-numbers>]
  }
}

フィールド

$vectorSearchステージは、次のフィールドを持つドキュメントを取得します。

フィールド	タイプ	必要性	説明
`exact`	ブール値	任意	`numCandidates`を省略する場合は、これが必要です。 EXN検索またはANN検索のどちらを実行するかを指定するフラグ。値は次のいずれかになります。 `false` - Ann検索を実行する場合 `true` - ENN検索を実行する場合省略した場合、デフォルトは `false` になります。 Atlas Vector Search は MongoDB v 6.0.11を実行しているクラスターでのAnn検索をサポートします v 7.0.2以降、MongoDB v 6を実行しているクラスターでのとENN検索。 0 。 16 、 v 7 . 0 。 10 、 v 7 . 3 。 2 、以降に更新します。
`filter`	ドキュメント	任意	インデックス作成されたフィールドを比較してプレフィルターとして使用する MQL 式。ブール値、date、objectId、numeric、string、UUID の値（これらの型の配列を含む）をフィルタリングできます。 Atlas Vector Search でサポートされる MQL 演算子については、「Atlas Vector Search プレフィルター」を参照してください。
`index`	string	必須	使用する Atlas Vector Search インデックスの名前。 Atlas Vector Search では、インデックス名のスペルをうっかり間違えた場合、または指定されたインデックスがクラスター上にまだ存在しない場合には結果が返されません。
`limit`	数値	必須	結果で返されるドキュメントの数（ `int`のみ）。 `numCandidates`を指定する場合、この値は`numCandidates`の値を超えることはできません。
`numCandidates`	数値	任意	このフィールドは、 `exact`が`false`または省略されている場合に必須です。検索中に使用する最近傍の数。値は（ `<=` ） `10000`以下である必要があります。返されるドキュメント数より小さい数値は指定できません（ `limit` ）。精度を高めるために、返されるドキュメント数（`limit`）の 20 倍以上を指定することをお勧めします。このオーバーリクエストパターンは、近似最近傍探索でレイテンシと再現率のバランスを取るためのお勧めの方法であり、当社では具体的なデータセットのサイズとクエリ要件に基づきこのパラメーターを調整することをお勧めしています。このパラメーターに影響する他の変数の詳細については、「`numCandidates` の選択」を参照してください。
`path`	string	必須	検索するインデックス付きのベクトルタイプフィールド。
`queryVector`	数字の配列	必須	`float32` の数値の配列、サブタイプ `float32` の BSON BinData ベクトル、またはサブタイプ `int1` または `int8` の BSON BinData ベクトルで、クエリベクトルを表します。サブタイプ `float32`、 `int8`、 `int1`を持つ BSON `binData` ベクトルの生成の詳細については、「事前に量子化されたベクトルを取り込む方法」をご覧ください。配列のサイズは、フィールドのインデックス定義で指定されたベクトル `dimensions` の数と一致しなければなりません。データの埋め込みに使用したのと同じモデルを使用してクエリを埋め込む必要があります。ベクトルのサブタイプが同じである限り、完全忠実度ベクトルを使用して埋め込みをクエリすることができます。これはサブタイプ `float32` を持つ`binData` ベクトルでのみ可能です。他のサブタイプ（`int8` または `int1`）を使用すると、Atlas Vector Search は結果もエラーも返しません。

サポートされているクライアント

$vectorSearchAtlas UI、mongosh 、任意のMongoDBドライバーを使用して、クエリを実行できます。

Atlas Vector Search は、Atlas CLI を使用して作成したローカル Atlas 配置で使用することもできます。詳細については、「 Atlas 配置のローカル配置の作成」を参照してください。

制限

$vectorSearch は、次の MongoDB バージョンを実行している Atlas クラスターでのみサポートされています。

v6.0.11
v7.0.2 以降（ RCを含む）。

$vectorSearchは、ビュー定義と次のパイプラインステージでは使用できません。

$lookup サブパイプライン
$facet パイプラインステージ

このステージには$vectorSearchの結果を渡すことができます。

動作

$vectorSearch は、それが表示されるすべてのパイプラインの最初のステージである必要があります。

Atlas Vector Search インデックス

$vectorSearchvectorSearch タイプのインデックス定義内でステージを使用して検索するフィールドをインデックスする必要があります。Atlas Vector Search vectorSearchタイプのインデックス定義では、次のタイプのフィールドにインデックスを付けることができます。

ベクトル型としてのベクトル埋め込みを含むフィールド。
事前にフィルタリングされたデータでベクトル検索を可能にするフィルタータイプとしての追加フィールド。

これらの Atlas Vector Search フィールドタイプの詳細については、「ベクトル検索のフィールドにインデックスを作成する方法」を参照してください。

Atlas Vector Search Score

Atlas Vector Search では、0 から 1 の固定範囲内（0 は類似性が低く、1 は類似性が高い）で、返される各ドキュメントにスコアが割り当てられます。

スコアは、インデックス定義で指定された「類似性」尺度に従って計算されます。cosine および dotProduct の類似性について、Atlas Vector Search はスコアが負にならないように正規化します。

cosineの場合、Atlas Vector Search は次のアルゴリズムを使用してスコアを正規化します。

score = (1 + cosine(v1,v2)) / 2

このアルゴリズムは、ドキュメントベクトル (v1) とクエリベクトル (v2) の類似度スコアを考慮し、スコアを [-1、1] の範囲で正規化します。Atlas Vector Search は類似度スコアに1を追加してスコアを［0、2］の範囲に正規化し、その後2で割って0～1の間の値を確保します。

dotProductの場合、Atlas Vector Search は次のアルゴリズムを使用してスコアを正規化します。

score = (1 + dotProduct(v1,v2)) / 2

euclidean類似性の場合、Atlas Vector Search は次のアルゴリズムを使用してスコアを正規化し、 0と1の間の値を確保します。

score = 1 / (1 + euclidean(v1,v2))

このアルゴリズムは、ユークリッド距離を計算することによってスコアを正規化します。ユークリッド距離は、ドキュメントベクトル（v1）とクエリベクトル（v2）の間の距離であり、その範囲は［0、∞］です。Atlas Vector Search は、距離に1を加算して類似度スコアに変換し、その結果で1を割ることで、値が0と1の間に収まるようにします。

返される各ドキュメントには、メタデータ形式のスコアが含まれています。このスコアを結果セットと共に含めるには、集計パイプラインで $project ステージを使用します。

Atlas Vector Search クエリ結果のスコアを検索するには、 $meta式の値としてvectorSearchScore を使用します。つまり、 $vectorSearch ステージの後の$project ステージでは、 score フィールドは$meta式を取ります。式では、ベクトル検索のドキュメントのスコアを返すためにvectorSearchScore 値が必要です。

例

1 db.<collection>.aggregate([
2   {
3     "$vectorSearch": {
4       <query-syntax>
5     }
6   },
7   {
8     "$project": {
9       "<field-to-include>": 1,
10       "<field-to-exclude>": 0,
11       "score": { "$meta": "vectorSearchScore" }
12     }
13   }
14 ])

注意

データを事前にフィルタリングしても、Atlas Vector Search が$vectorSearchクエリに$vectorSearchScoreを使用して返すスコアには影響しません。

Atlas Vector Search 事前フィルター

$vectorSearch filter オプションは、BSON ブール値、日付、objectId、数値、string、UUID の値（これらのタイプの配列を含む）をマッチングします。

データのフィルタリング基準とするフィールドには、vectorSearch タイプのインデックス定義に含まれるフィルタータイプとしてインデックスを作成する必要があります。データをフィルタリングすると、セマンティック検索の範囲が絞り込まれ、すべてのベクトルが比較対象とならないように徹底するのに役立ちます。

Atlas Vector Search は、次の MQL 演算子で、$vectorSearch filter オプションをサポートしています。

タイプ	MQL 演算子
equals	`$eq`, `$ne`
Range（範囲）	`$gt`, `$lt`, `$gte`, `$lte`
「イン」セット	`$in`, `$nin`
論理	`$not`, `$nor`, `$and`, `$or`

注意

$vectorSearch filter オプションは、他のクエリ演算子、集計パイプライン演算子、または Atlas Search 演算子をサポートしていません。

Considerations

Atlas Vector Search は $eq の短縮形式をサポートしています。短縮形式では、クエリに $eq を指定する必要はありません。

例

$eq の付いた次のフィルターを例に挙げます。

"filter": { "_id": { "$eq": ObjectId("5a9427648b0beebeb69537a5") }

次の方法で、$eq の短縮形を使用して、上記のクエリを実行できます。

"filter": { "_id": ObjectId("5a9427648b0beebeb69537a5") }

$and 演算子を使用して、単一のクエリでフィルターの配列を指定することもできます。

例

たとえば、genres フィールドが Action に等しく、かつ year フィールドの値が 1999、 2000、または 2001 に等しいドキュメントの次のプレフィルターを考えてみましょう。

"filter": {
  "$and": [
    { "genres": "Action" },
    { "year": { "$in": [ 1999, 2000, 2001 ] } }
  ]
}

`numCandidates` 選択

近似最近傍探索の精度を高めるには、numCandidates 数値を返されるドキュメント数（limit）の 20 倍以上に設定することをお勧めします。たとえば、limit を 5 件の結果を返すように設定する場合、numCandidates は少なくとも 100 に設定します。ANN および ENN クエリ結果の不一致を減らすには、数値を大きくします。詳細については、「クエリ結果の精度を測定する方法」を参照してください。

このオーバーリクエストパターンは近似最近傍探索でレイテンシと再現率のバランスを取るお勧めの方法です。ただし、当社では具体的なデータセットのサイズとクエリ要件に基づき、このパラメーターを調整することをお勧めしています。正確な結果を得るには、次の変数を考慮する必要があります。

インデックスサイズ：コレクションが大きいほど、想起率を維持するためには通常、より大きな numCandidates 値が必要です。数百万のベクトルを含むコレクションは、数千のベクトルを含むコレクションよりもはるかに多くの候補が必要となる可能性があります。
制限値：numCandidates はインデックスサイズと高い相関関係があるため、limit の値が低い場合、再現率を維持するには、それに比例して numCandidates の値を高くする必要があります。
ベクトル量子化: 量子化ベクトルはストレージコストを削減させますが、精度は低下します。量子化ベクトル（int8 または int1 サブタイプ）を使用する場合、完全精度の float32 ベクトルに匹敵する再現率を維持するには、numCandidates 値の引き上げが必要になることがあります。

セグメント間でのクエリの並列実行

ベクトル検索クエリ処理を分離するには、専用の検索ノードをお勧めします。専用の検索ノードではクエリのパフォーマンスが向上する場合があります。高 CPU システムではパフォーマンスがさらに向上する可能性があることに注意してください。 Atlas Vector Search が検索ノードで実行される場合、Atlas Vector Search はデータのセグメント全体でクエリの実行を並列化します。

クエリ処理を並列化すると、大規模なデータセットに対するクエリなど、多くのケースで応答時間が向上します。 Atlas Vector Search クエリ処理中にクエリ内並列処理を使用すると、より多くのリソースが使用されますが、個々のクエリのレイテンシが向上します。

注意

Atlas Vector Search では、各クエリが同時に実行されることは保証されません。例えば、同時クエリがキューに入れられすぎると、Atlas Vector Search はシングルスレッド実行に戻る可能性があります。

同じ連続するクエリに対して一貫性のない結果が表示される場合があります。これを軽減するには、 $vectorSearchクエリでnumCandidatesの値を増やします。

例

以下のクエリは、$vectorSearch ステージを使用してサンプル sample_mflix.embedded_movies コレクションを検索します。クエリは、Voyage AI の voyage-3-large 埋め込みモデルを使用して作成された埋め込みを含む plot_embedding_voyage_3_large フィールドを検索します。

➤ [言語の選択] ドロップダウンメニューを使用して、このページの例の言語を設定します。

前提条件

これらの例を実行する前に、次のアクションを実行する必要があります。

サンプルコレクションを Atlas クラスターに追加します。
コレクションのサンプルインデックスを作成します。手順については、ご希望の言語の「インデックスの作成と管理」にある基本とフィルターの例を参照してください。

注意

mongosh を使用する場合、マシンによってはサンプルコードから queryVector をターミナルに貼り付けるのに時間がかかる場合があります。

ANN の例

次のクエリは、 $vectorSearchステージで string時間移動のベクトル埋め込みを使用してplot_embedding_voyage_3_largeフィールドを検索します。最大150の最近傍を考慮し、結果として10ドキュメントを返します。このクエリでは、次の操作を実行するために$projectステージも指定しています。

_idフィールドを除外し、フィールドとplot titleフィールドのみを結果に含めます。
結果内の各ドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

次の埋め込みを query-embeddings.js という名前のファイルに保存してください。

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埋め込みをクエリで使用するには、ファイルを mongosh にロードしてください。
```
load(/<path-to-file>/query-embeddings.js');
```

次のクエリを実行します。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding_voyage_3_large",
6       "queryVector": TIME_TRAVEL_EMBEDDING,
7       "numCandidates": 150,
8       "limit": 10,
9       "quantization": "scalar"
10     }
11   },
12   {
13     "$project": {
14       "_id": 0,
15       "plot": 1,
16       "title": 1,
17       "score": { $meta: "vectorSearchScore" }
18     }
19   }
20 ])

1 [
2   {
3     plot: 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.',
4     title: 'About Time',
5     score: 0.7710106372833252
6   },
7   {
8     plot: 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.',
9     title: 'Retroactive',
10     score: 0.760047972202301
11   },
12   {
13     plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...',
14     title: 'A.P.E.X.',
15     score: 0.7576861381530762
16   },
17   {
18     plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.',
19     title: 'Timecop',
20     score: 0.7576561570167542
21   },
22   {
23     plot: 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.',
24     title: 'Back to the Future Part II',
25     score: 0.7521393895149231
26   },
27   {
28     plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.',
29     title: 'Thrill Seekers',
30     score: 0.7509932518005371
31   },
32   {
33     plot: 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...',
34     title: 'Timerider: The Adventure of Lyle Swann',
35     score: 0.7502642869949341
36   },
37   {
38     plot: 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.',
39     title: 'The Time Machine',
40     score: 0.7502503395080566
41   },
42   {
43     plot: 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.',
44     title: "The Time Traveler's Wife",
45     score: 0.749496340751648
46   },
47   {
48     plot: 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.',
49     title: 'The Final Countdown',
50     score: 0.7469133734703064
51   }
52 ]

次のクエリは、サンプルベクトルデータに対してセマンティック検索を実行する前に、 01年 1 月1955から 1 月01日1975の間にリリースされた映画のドキュメントをフィルタリングします。 $and演算子を使用して、指定された日付の論理AND演算を実行します。次に、string charactersのベクトル埋め込みを使用して、フィルタリングされたドキュメント内のplot_embedding_voyage_3_largeフィールドで150の最近傍を検索し、結果として10ドキュメントを返します。このクエリでは、次の操作を実行するために$projectステージも指定しています。

_idフィールドを除外し、結果にはplot 、 title 、 yearフィールドのみを含めます。
結果内にドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

次の埋め込みを query-embeddings.js という名前のファイルに保存してください。

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埋め込みをクエリで使用するには、ファイルを mongosh にロードしてください。
```
load('/<path-to-file>/query-embeddings.js');
```

次のクエリを実行します。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding_voyage_3_large",
6       "filter": {
7         "$and": [
8           {
9             "year": {  "$gt": 1955  }
10           }, 
11           {
12             "year": {  "$lt": 1975 }
13           }
14         ]
15       },
16       "queryVector": KIDS_ADVENTURE_EMBEDDING,
17       "numCandidates": 150,
18       "limit": 10
19     }
20   },
21   {
22     "$project": {
23       "_id": 0,
24       "title": 1,
25       "plot": 1,
26       "year": 1,
27       "score": { $meta: "vectorSearchScore" }
28     }
29   }
30 ])

1 [
2   {
3     plot: 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.',
4     title: 'Chitty Chitty Bang Bang',
5     year: 1968,
6     score: 0.7489712834358215
7   },
8   {
9     plot: 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.',
10     title: 'The Little Prince',
11     year: 1974,
12     score: 0.7346078753471375
13   },
14   {
15     plot: 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.',
16     title: 'In Search of the Castaways',
17     year: 1962,
18     score: 0.7281590104103088
19   },
20   {
21     plot: 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.',
22     title: 'Bedknobs and Broomsticks',
23     year: 1971,
24     score: 0.720349133014679
25   },
26   {
27     plot: "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.",
28     title: 'Pastoral Hide and Seek',
29     year: 1974,
30     score: 0.7195663452148438
31   },
32   {
33     plot: 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...',
34     title: 'Peter Pan',
35     year: 1960,
36     score: 0.7195032238960266
37   },
38   {
39     plot: 'When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...',
40     title: 'The Cowboys',
41     year: 1972,
42     score: 0.717952311038971
43   },
44   {
45     plot: 'When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.',
46     title: 'The 7th Voyage of Sinbad',
47     year: 1958,
48     score: 0.7148033380508423
49   },
50   {
51     plot: 'A red balloon with a life of its own follows a little boy around the streets of Paris.',
52     title: 'The Red Balloon',
53     year: 1956,
54     score: 0.7147064805030823
55   },
56   {
57     plot: 'This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...',
58     title: 'Perri',
59     year: 1957,
60     score: 0.712087094783783
61   }
62 ]

Atlas Vector Search は、 1955から1975の範囲のyearフィールド値に基づいてドキュメントをフィルタリングします。プロットには、 1955から1975の間に公開された映画のプロットに、リクエストの結果をまとめたドキュメントが返されます。

Tip

追加のフィルター例

「 Atlas クラスターのデータに対してセマンティック検索を実行する方法」では、 sample_mflix.embedded_moviesコレクション内の埋め込みデータに対するセマンティック検索クエリの他の事前フィルターについて説明します。

_idフィールドを除外し、フィールドとplot titleフィールドのみを結果に含めます。
結果内の各ドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 using MongoDB.Bson;
2 using MongoDB.Bson.Serialization.Attributes;
3 using MongoDB.Bson.Serialization.Conventions;
4 using MongoDB.Driver;
5 
6 public class vectorSearchBasicQuery 
7 {
8   // define connection to your Atlas cluster
9   private const string MongoConnectionString = "<connection-string>";
10 
11   public static void Main(string[] args){
12     var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
13     ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
14 
15     // connect to your Atlas cluster
16     var mongoClient = new MongoClient(MongoConnectionString);
17 
18     // define namespace
19     var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
20     var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");
21 
22     // define vector embeddings to search
23     var vector = new[] 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24     var options = new VectorSearchOptions<EmbeddedMovie>() {
25         IndexName = "vector_index",
26         NumberOfCandidates = 150
27     };
28 
29     // run query
30     var results = moviesCollection.Aggregate()
31                 .VectorSearch(movie => movie.Embedding, vector, 10, options)
32                 .Project(Builders<EmbeddedMovie>.Projection
33                   .Include(movie => movie.Title)
34                   .Include(movie => movie.Plot)
35                   .Exclude(movie => movie.Id)
36                   .MetaVectorSearchScore(movie => movie.Score))
37                 .ToList();
38 
39     // print results
40     foreach (var movie in results)
41       {
42         Console.WriteLine(movie.ToJson());
43       }
44   }
45 }
46 
47 [BsonIgnoreExtraElements]
48 public class EmbeddedMovie
49 {
50     [BsonIgnoreIfDefault]
51     public ObjectId Id { get; set; }
52     public string? Title { get; set; }
53     public string? Plot { get; set; }
54     [BsonElement("plot_embedding_voyage_3_large")]
55     public double[]? Embedding { get; set; }
56     public double Score { get; set; }
57 }

1 { "plot" : "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title" : "About Time", "score" : 0.7710106372833252 }
2 { "plot" : "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title" : "Retroactive", "score" : 0.76004797220230103 }
3 { "plot" : "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title" : "A.P.E.X.", "score" : 0.75768613815307617 }
4 { "plot" : "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title" : "Timecop", "score" : 0.75765615701675415 }
5 { "plot" : "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title" : "Back to the Future Part II", "score" : 0.7521393895149231 }
6 { "plot" : "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title" : "Thrill Seekers", "score" : 0.75099325180053711 }
7 { "plot" : "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title" : "Timerider: The Adventure of Lyle Swann", "score" : 0.75026428699493408 }
8 { "plot" : "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title" : "The Time Machine", "score" : 0.75025033950805664 }
9 { "plot" : "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title" : "The Time Traveler's Wife", "score" : 0.74949634075164795 }
10 { "plot" : "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title" : "The Final Countdown", "score" : 0.7469133734703064 }

_idフィールドを除外し、結果にはplot 、 title 、 yearフィールドのみを含めます。
結果内にドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 using System.Reflection.Emit;
2 using MongoDB.Bson;
3 using MongoDB.Bson.Serialization.Attributes;
4 using MongoDB.Bson.Serialization.Conventions;
5 using MongoDB.Driver;
6 using MongoDB.Driver.Search;
7 
8 public class vectorSearchFilterQuery 
9 {
10   // define connection to your Atlas cluster
11   private const string MongoConnectionString = "<connection-string>";
12 
13   public static void Main(string[] args){
14     var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
15     ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
16 
17     // connect to your Atlas cluster
18     var mongoClient = new MongoClient(MongoConnectionString);
19 
20     // define namespace
21     var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
22     var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");
23 
24     // define vector embeddings to search
25     var vector = new[] 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0.037876874,0.033142265,0.041607171,-0.011477841,0.031133642,-0.045050524,-0.003981376,-0.025394723,-0.031707536,0.024533885,0.032568373,0.028694602,-0.021090532,-0.019942747,0.054806691,-0.004483532,-0.020086221,-0.01599724,0.018651491,0.020373167,0.000504397,-0.007424728,-0.063702017,-0.014203828,0.030846696,-0.006599758,-0.027259871,-0.024103465,-0.020660114,-0.004985687,0.005559579,-0.034146577,-0.011549577,-0.00173961,0.008321434,0.007030177,-0.015638558};
26     // define filter
27     var yearGtFilter = Builders<EmbeddedMovie>.Filter.Gt("year", 1955);
28     var yearLtFilter = Builders<EmbeddedMovie>.Filter.Lt("year", 1975);
29     // define options 
30     var options = new VectorSearchOptions<EmbeddedMovie>() {
31         Filter = Builders<EmbeddedMovie>.Filter.And(yearGtFilter, yearLtFilter),
32         IndexName = "vector_index",
33         NumberOfCandidates = 150
34     };
35 
36     // run query
37     var results = moviesCollection.Aggregate()
38                 .VectorSearch(m => m.Embedding, vector, 10, options)
39                 .Project(Builders<EmbeddedMovie>.Projection
40                   .Include(m => m.Title)
41                   .Include(movie => movie.Plot)
42                   .Include(movie => movie.Year)
43                   .MetaVectorSearchScore(m => m.Score))
44                 .ToList();
45 
46     // print results
47     foreach (var movie in results)
48       {
49         Console.WriteLine(movie.ToJson());
50       }
51   }
52 }
53 
54 [BsonIgnoreExtraElements]
55 public class EmbeddedMovie
56 {
57     [BsonIgnoreIfDefault]
58     public string Title { get; set; }
59     public string Plot { get; set; }
60     public int Year { get; set; }
61     [BsonElement("plot_embedding_voyage_3_large")]
62     public double[] Embedding { get; set; }
63     public double Score { get; set; }
64 }

1 { "_id" : { "$oid" : "573a1396f29313caabce34d3" }, "plot" : "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74897128343582153 }
2 { "_id" : { "$oid" : "573a1396f29313caabce5648" }, "plot" : "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title" : "The Little Prince", "year" : 1974, "score" : 0.73460787534713745 }
3 { "_id" : { "$oid" : "573a1395f29313caabce1b8d" }, "plot" : "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title" : "In Search of the Castaways", "year" : 1962, "score" : 0.72815901041030884 }
4 { "_id" : { "$oid" : "573a1396f29313caabce43e1" }, "plot" : "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title" : "Bedknobs and Broomsticks", "year" : 1971, "score" : 0.72034913301467896 }
5 { "_id" : { "$oid" : "573a1396f29313caabce54e6" }, "plot" : "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title" : "Pastoral Hide and Seek", "year" : 1974, "score" : 0.71956634521484375 }
6 { "_id" : { "$oid" : "573a1395f29313caabce143b" }, "plot" : "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title" : "Peter Pan", "year" : 1960, "score" : 0.71950322389602661 }
7 { "_id" : { "$oid" : "573a1396f29313caabce49bf" }, "plot" : "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title" : "The Cowboys", "year" : 1972, "score" : 0.71795231103897095 }
8 { "_id" : { "$oid" : "573a1394f29313caabce0951" }, "plot" : "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title" : "The 7th Voyage of Sinbad", "year" : 1958, "score" : 0.71480333805084229 }
9 { "_id" : { "$oid" : "573a1394f29313caabce000d" }, "plot" : "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title" : "The Red Balloon", "year" : 1956, "score" : 0.71470648050308228 }
10 { "_id" : { "$oid" : "573a1394f29313caabce074d" }, "plot" : "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title" : "Perri", "year" : 1957, "score" : 0.71208715438842773 }

Tip

追加のフィルター例

_idフィールドを除外し、フィールドとplot titleフィールドのみを結果に含めます。
結果内の各ドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/v2/bson"
9 	"go.mongodb.org/mongo-driver/v2/mongo"
10 	"go.mongodb.org/mongo-driver/v2/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [2048]float64{
31 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0.024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234,
32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding_voyage_3_large"},
38 			{"queryVector", queryVector},
39 			{"numCandidates", 150},
40 			{"limit", 10},
41 		}}}
42 
43 	projectStage := bson.D{
44 		{"$project", bson.D{
45 			{"_id", 0},
46 			{"plot", 1},
47 			{"title", 1},
48 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
49 		}}}
50 
51 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
52 	if err != nil {
53 		log.Fatalf("failed to retrieve data from the server: %v", err)
54 	}
55 	// Display the results
56 	type ProjectedMovieResult struct {
57 		Title string  `bson:"title"`
58 		Plot  string  `bson:"plot"`
59 		Score float64 `bson:"score"`
60 	}
61 
62 	var results []ProjectedMovieResult
63 	if err = cursor.All(ctx, &results); err != nil {
64 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
65 	}
66 	for _, result := range results {
67 		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
68 	}
69 }

1 Title: About Time 
2 Plot: At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think. 
3 Score: 0.7710106372833252 
4 
5 Title: Retroactive 
6 Plot: A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband. 
7 Score: 0.760047972202301 
8 
9 Title: A.P.E.X. 
10 Plot: A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a... 
11 Score: 0.7576861381530762 
12 
13 Title: Timecop 
14 Plot: An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past. 
15 Score: 0.7576561570167542 
16 
17 Title: Back to the Future Part II 
18 Plot: After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip. 
19 Score: 0.7521393895149231 
20 
21 Title: Thrill Seekers 
22 Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters. 
23 Score: 0.7509932518005371 
24 
25 Title: Timerider: The Adventure of Lyle Swann 
26 Plot: Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ... 
27 Score: 0.7502642869949341 
28 
29 Title: The Time Machine 
30 Plot: Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races. 
31 Score: 0.7502503395080566 
32 
33 Title: The Time Traveler's Wife 
34 Plot: A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage. 
35 Score: 0.749496340751648 
36 
37 Title: The Final Countdown 
38 Plot: A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor. 
39 Score: 0.7469133734703064

_idフィールドを除外し、結果にはplot 、 title 、 yearフィールドのみを含めます。
結果内にドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/v2/bson"
9 	"go.mongodb.org/mongo-driver/v2/mongo"
10 	"go.mongodb.org/mongo-driver/v2/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [2048]float64{
31 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32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding_voyage_3_large"},
38 			{"filter", bson.D{{
39 				"$and", bson.A{
40 					bson.D{{"year", bson.D{{"$gt", 1955}}}},
41 					bson.D{{"year", bson.D{{"$lt", 1975}}}},
42 				},
43 			}}},
44 			{"queryVector", queryVector},
45 			{"numCandidates", 150},
46 			{"limit", 10},
47 		}}}
48 
49 	projectStage := bson.D{
50 		{"$project", bson.D{
51 			{"_id", 0},
52 			{"plot", 1},
53 			{"title", 1},
54 			{"year", 1},
55 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
56 		}}}
57 
58 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
59 	if err != nil {
60 		log.Fatalf("failed to retrieve data from the server: %v", err)
61 	}
62 	// display the results
63 	type ProjectedMovieResult struct {
64 		Title string  `bson:"title"`
65 		Plot  string  `bson:"plot"`
66 		Year  int32   `bson:"year"`
67 		Score float64 `bson:"score"`
68 	}
69 
70 	var results []ProjectedMovieResult
71 	if err = cursor.All(ctx, &results); err != nil {
72 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
73 	}
74 	for _, result := range results {
75 		fmt.Printf("Title: %v \nPlot: %v \nYear: %v \nScore: %v \n\n", result.Title, result.Plot, result.Year, result.Score)
76 	}
77 }

1 Title: Chitty Chitty Bang Bang 
2 Plot: A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land. 
3 Year: 1968 
4 Score: 0.7489712834358215 
5 
6 Title: The Little Prince 
7 Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet. 
8 Year: 1974 
9 Score: 0.7346078753471375 
10 
11 Title: In Search of the Castaways 
12 Plot: In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast. 
13 Year: 1962 
14 Score: 0.7281590104103088 
15 
16 Title: Bedknobs and Broomsticks 
17 Plot: An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain. 
18 Year: 1971 
19 Score: 0.720349133014679 
20 
21 Title: Pastoral Hide and Seek 
22 Plot: A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later. 
23 Year: 1974 
24 Score: 0.7195663452148438 
25 
26 Title: Peter Pan 
27 Plot: In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ... 
28 Year: 1960 
29 Score: 0.7195032238960266 
30 
31 Title: The Cowboys 
32 Plot: When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ... 
33 Year: 1972 
34 Score: 0.717952311038971 
35 
36 Title: The 7th Voyage of Sinbad 
37 Plot: When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war. 
38 Year: 1958 
39 Score: 0.7148033380508423 
40 
41 Title: The Red Balloon 
42 Plot: A red balloon with a life of its own follows a little boy around the streets of Paris. 
43 Year: 1956 
44 Score: 0.7147064805030823 
45 
46 Title: Perri 
47 Plot: This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten... 
48 Year: 1957 
49 Score: 0.7120871543884277

Tip

追加のフィルター例

_idフィールドを除外し、フィールドとplot titleフィールドのみを結果に含めます。
結果内の各ドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 import com.mongodb.client.MongoClient;
2 import com.mongodb.client.MongoClients;
3 import com.mongodb.client.MongoCollection;
4 import com.mongodb.client.MongoDatabase;
5 import com.mongodb.client.model.search.FieldSearchPath;
6 import org.bson.Document;
7 import org.bson.conversions.Bson;
8 
9 import java.util.List;
10 
11 import static com.mongodb.client.model.Aggregates.project;
12 import static com.mongodb.client.model.Aggregates.vectorSearch;
13 import static com.mongodb.client.model.Projections.fields;
14 import static com.mongodb.client.model.Projections.include;
15 import static com.mongodb.client.model.Projections.exclude;
16 import static com.mongodb.client.model.Projections.metaVectorSearchScore;
17 import static com.mongodb.client.model.search.SearchPath.fieldPath;
18 import static com.mongodb.client.model.search.VectorSearchOptions.approximateVectorSearchOptions;
19 import static java.util.Arrays.asList;
20 
21 public class BasicQuery {
22   public static void main( String[] args ) {
23     // specify connection
24     String uri = "<connection-string>";
25 
26     // establish connection and set namespace
27     try (MongoClient mongoClient = MongoClients.create(uri)) {
28       MongoDatabase database = mongoClient.getDatabase("sample_mflix");
29       MongoCollection<Document> collection = database.getCollection("embedded_movies");
30       
31 
32       // define $vectorSearch query options
33       List<Double> queryVector = 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34       String indexName = "vector_index";
35       FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");
36       int limit = 10;
37       int numCandidates = 150;
38       
39       // define pipeline 
40       List<Bson> pipeline = asList(
41         vectorSearch(
42           fieldSearchPath,
43           queryVector,
44           indexName,
45           limit,
46           approximateVectorSearchOptions(numCandidates)),
47         project(
48           fields(exclude("_id"), include("title"), include("plot"),
49           metaVectorSearchScore("score"))));
50       
51       // run query and print results
52       collection.aggregate(pipeline)
53         .forEach(doc -> System.out.println(doc.toJson()));	
54     }
55   }
56 }

1 {"plot": "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title": "About Time", "score": 0.7710106372833252}
2 {"plot": "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title": "Retroactive", "score": 0.760047972202301}
3 {"plot": "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title": "A.P.E.X.", "score": 0.7576861381530762}
4 {"plot": "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title": "Timecop", "score": 0.7576561570167542}
5 {"plot": "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title": "Back to the Future Part II", "score": 0.7521393895149231}
6 {"plot": "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title": "Thrill Seekers", "score": 0.7509932518005371}
7 {"plot": "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title": "Timerider: The Adventure of Lyle Swann", "score": 0.7502642869949341}
8 {"plot": "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title": "The Time Machine", "score": 0.7502503395080566}
9 {"plot": "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title": "The Time Traveler's Wife", "score": 0.749496340751648}
10 {"plot": "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title": "The Final Countdown", "score": 0.7469133734703064}

_idフィールドを除外し、結果にはplot 、 title 、 yearフィールドのみを含めます。
結果内にドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 import static com.mongodb.client.model.Aggregates.*;  
2 import static com.mongodb.client.model.Projections.*;  
3 import static com.mongodb.client.model.search.SearchPath.fieldPath;  
4 import static java.util.Arrays.asList;  
5 import static com.mongodb.client.model.Filters.*;  
6   
7 import com.mongodb.client.MongoClient;  
8 import com.mongodb.client.MongoClients;  
9 import com.mongodb.client.MongoCollection;  
10 import com.mongodb.client.MongoDatabase;  
11 import com.mongodb.client.model.search.FieldSearchPath;  
12 import com.mongodb.client.model.search.VectorSearchOptions;  
13 import org.bson.Document;  
14 import org.bson.conversions.Bson;  
15   
16 import java.util.List;  
17   
18 public class FilterQuery {  
19     public static void main(String[] args) {  
20         // Specify connection URI  
21         String uri = "<connection-string>";
22   
23         // Establish connection and set namespace  
24         try (MongoClient mongoClient = MongoClients.create(uri)) {  
25             MongoDatabase database = mongoClient.getDatabase("sample_mflix");  
26             MongoCollection<Document> collection = database.getCollection("embedded_movies");  
27   
28             // Parameters  
29             List<Double> queryVector = 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 
30             String indexName = "vector_index";  
31             FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");  
32             long numCandidates = 150;  
33             long limit = 10;  
34   
35             // Define filter criteria  
36             Bson criteria = and(gt("year", 1955), lt("year", 1975));  
37   
38             // Create VectorSearchOptions  
39             VectorSearchOptions options = VectorSearchOptions.approximateVectorSearchOptions(numCandidates)  
40                 .filter(criteria);  
41   
42             // Define the pipeline  
43             List<Bson> pipeline = asList(  
44                 vectorSearch(  
45                     fieldSearchPath,  
46                     queryVector,  
47                     indexName,  
48                     limit,  
49                     options  
50                 ),  
51                 project(  
52                     fields(  
53                         exclude("_id"),  
54                         include("title"),  
55                         include("plot"),  
56                         include("year"),  
57                         metaVectorSearchScore("score")  
58                     )  
59                 )  
60             );  
61   
62             // Run query and print results  
63             collection.aggregate(pipeline).forEach(doc -> System.out.println(doc.toJson()));  
64         }  
65     }  
66 }

1 {"plot": "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title": "Chitty Chitty Bang Bang", "year": 1968, "score": 0.7489712834358215}
2 {"plot": "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title": "The Little Prince", "year": 1974, "score": 0.7346078753471375}
3 {"plot": "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title": "In Search of the Castaways", "year": 1962, "score": 0.7281590104103088}
4 {"plot": "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title": "Bedknobs and Broomsticks", "year": 1971, "score": 0.720349133014679}
5 {"plot": "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title": "Pastoral Hide and Seek", "year": 1974, "score": 0.7195663452148438}
6 {"plot": "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title": "Peter Pan", "year": 1960, "score": 0.7195032238960266}
7 {"plot": "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title": "The Cowboys", "year": 1972, "score": 0.717952311038971}
8 {"plot": "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title": "The 7th Voyage of Sinbad", "year": 1958, "score": 0.7148033380508423}
9 {"plot": "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title": "The Red Balloon", "year": 1956, "score": 0.7147064805030823}
10 {"plot": "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title": "Perri", "year": 1957, "score": 0.7120871543884277}

Tip

追加のフィルター例

_idフィールドを除外し、フィールドとplot titleフィールドのみを結果に含めます。
結果内の各ドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 const { MongoClient } = require("mongodb");
2 
3 // connect to your Atlas cluster
4 const uri = "<connection-string>";
5 
6 const client = new MongoClient(uri);
7 
8 async function run() {
9     try {
10         await client.connect();
11 
12         // set namespace
13         const database = client.db("sample_mflix");
14         const coll = database.collection("embedded_movies");
15 
16         // define pipeline
17         const agg = [
18             {
19               '$vectorSearch': {
20                 'index': 'vector_index',
21                 'path': 'plot_embedding_voyage_3_large',
22                 'queryVector': [
23                   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024262359,0.054507218,-0.009721561,0.005816319,-0.00206687,-0.008766023,0.017365867,-0.000737426,0.018362951,-0.023597637,-0.019110762,0.021935832,0.041545134,-0.020357117,-0.017615138,0.044868745,-0.018030589,-0.032405205,-0.050186522,-0.014540797,0.005213914,-0.006688767,0.047527634,0.040714234
24                 ],
25                 'numCandidates': 150,
26                 'limit': 10
27               }
28             }, {
29               '$project': {
30                 '_id': 0,
31                 'plot': 1,
32                 'title': 1,
33                 'score': {
34                   '$meta': 'vectorSearchScore'
35                 }
36               }
37             }
38           ];
39         // run pipeline
40         const result = coll.aggregate(agg);
41 
42         // print results
43         await result.forEach((doc) => console.dir(JSON.stringify(doc)));
44     } finally {
45         await client.close();
46     }
47 }
48 run().catch(console.dir);

1 '{"plot":"At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.","title":"About Time","score":0.7710106372833252}'
2 '{"plot":"A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.","title":"Retroactive","score":0.760047972202301}'
3 '{"plot":"A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...","title":"A.P.E.X.","score":0.7576861381530762}'
4 '{"plot":"An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.","title":"Timecop","score":0.7576561570167542}'
5 '{"plot":"After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.","title":"Back to the Future Part II","score":0.7521393895149231}'
6 '{"plot":"A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.","title":"Thrill Seekers","score":0.7509932518005371}'
7 '{"plot":"Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...","title":"Timerider: The Adventure of Lyle Swann","score":0.7502642869949341}'
8 '{"plot":"Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.","title":"The Time Machine","score":0.7502503395080566}'
9 `{"plot":"A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.","title":"The Time Traveler's Wife","score":0.749496340751648}`
10 '{"plot":"A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.","title":"The Final Countdown","score":0.7469133734703064}'

_idフィールドを除外し、結果にはplot 、 title 、 yearフィールドのみを含めます。
結果内にドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

1 const { MongoClient } = require("mongodb");
2 
3 // connect to your Atlas cluster
4 const uri = "<connection-string>";
5     
6 const client = new MongoClient(uri);
7 
8 async function run() {
9   try {
10     await client.connect();
11 
12     // set namespace
13     const database = client.db("sample_mflix");
14     const coll = database.collection("embedded_movies");
15 
16     // define pipeline
17     const agg = [
18       {
19         '$vectorSearch': {
20           'index': 'vector_index', 
21           'path': 'plot_embedding_voyage_3_large', 
22           'filter': {
23             '$and': [
24               {
25                 'year': {
26                   '$gt': 1955
27                 }, 
28                 'year': {
29                   '$lt': 1975
30                 }
31               }
32             ]
33           }, 
34           'queryVector': 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
35           'numCandidates': 150, 
36           'limit': 10
37         }
38       }, {
39         '$project': {
40           '_id': 0, 
41           'title': 1, 
42           'plot': 1, 
43           'year': 1, 
44           'score': {
45             '$meta': 'vectorSearchScore'
46           }
47         }
48       }
49     ];
50   // run pipeline
51   const result = coll.aggregate(agg);
52 
53   // print results
54     await result.forEach((doc) => console.dir(JSON.stringify(doc)));
55   } finally {
56     await client.close();
57   }
58 }
59 run().catch(console.dir);

1 '{"plot":"A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.","title":"Chitty Chitty Bang Bang","year":1968,"score":0.7489712834358215}'
2 `{"plot":"While hearing the story of \\"Gulliver's Travels\\", a young boy dreams he is the title character on the island of Lilliput .","title":"The New Gulliver","year":1935,"score":0.7459166049957275}`
3 '{"plot":"A pilot, stranded in the desert, meets a little boy who is a prince on a planet.","title":"The Little Prince","year":1974,"score":0.7346078753471375}'
4 '{"plot":"Pistol-packing tomboy, and grandfather come to discover band of bank robbing bandits taking refuge in the neighboring ghost town.","title":"Yellow Sky","year":1948,"score":0.7290171384811401}'
5 '{"plot":"A boy raised by wolves tries to adapt to human village life.","title":"Jungle Book","year":1942,"score":0.7287350296974182}'
6 '{"plot":"In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.","title":"In Search of the Castaways","year":1962,"score":0.7281590104103088}'
7 '{"plot":"Peter Pan enters the nursery of the Darling children and, with the help of fairy dust, leads them off to Never Never Land, where they meet the nefarious Captain Hook.","title":"Peter Pan","year":1924,"score":0.7273794412612915}'
8 `{"plot":"In Africa, the girl Jill Young trades a baby gorilla with two natives and raises the animal. Twelve years later, the talkative and persuasive promoter Max O'Hara organizes a safari to ...","title":"Mighty Joe Young","year":1949,"score":0.7219074368476868}`
9 '{"plot":"A living puppet, with the help of a cricket as his conscience, must prove himself worthy to become a real boy.","title":"Pinocchio","year":1940,"score":0.721661388874054}'
10 '{"plot":"An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.","title":"Bedknobs and Broomsticks","year":1971,"score":0.720349133014679}'

Tip

追加のフィルター例

_idフィールドを除外し、フィールドとplot titleフィールドのみを結果に含めます。
結果内の各ドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

この例の実行可能なバージョンを Python エディタとして使用します。

1 import pymongo
2 
3 # connect to your Atlas cluster
4 client = pymongo.MongoClient("<connection-string>")
5 
6 # define pipeline
7 pipeline = [
8   {
9     '$vectorSearch': {
10       'index': 'vector_index', 
11       'path': 'plot_embedding_voyage_3_large', 
12       'queryVector': 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
13       'numCandidates': 150, 
14       'limit': 10
15     }
16   }, {
17     '$project': {
18       '_id': 0, 
19       'plot': 1, 
20       'title': 1, 
21       'score': {
22         '$meta': 'vectorSearchScore'
23       }
24     }
25   }
26 ]
27 
28 # run pipeline
29 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
30 
31 # print results
32 for i in result:
33     print(i)
34

1 {'plot': 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.', 'title': 'About Time', 'score': 0.7710106372833252}
2 {'plot': 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.', 'title': 'Retroactive', 'score': 0.760047972202301}
3 {'plot': 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', 'title': 'A.P.E.X.', 'score': 0.7576861381530762}
4 {'plot': 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', 'title': 'Timecop', 'score': 0.7576561570167542}
5 {'plot': 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.', 'title': 'Back to the Future Part II', 'score': 0.7521393895149231}
6 {'plot': 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', 'title': 'Thrill Seekers', 'score': 0.7509932518005371}
7 {'plot': 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...', 'title': 'Timerider: The Adventure of Lyle Swann', 'score': 0.7502642869949341}
8 {'plot': 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.', 'title': 'The Time Machine', 'score': 0.7502503395080566}
9 {'plot': 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.', 'title': "The Time Traveler's Wife", 'score': 0.749496340751648}
10 {'plot': 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.', 'title': 'The Final Countdown', 'score': 0.7469133734703064}

_idフィールドを除外し、結果にはplot 、 title 、 yearフィールドのみを含めます。
結果内にドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

この例の実行可能なバージョンを Python エディタとして使用します。

1 import pymongo
2 
3 # connect to your Atlas cluster
4 client = pymongo.MongoClient("<connection-string>")
5 
6 # define pipeline
7 pipeline = [
8   {
9     '$vectorSearch': {
10       'index': 'vector_index', 
11       'path': 'plot_embedding_voyage_3_large', 
12       'filter': {
13         '$and': [
14           {
15             'year': {
16               '$gt': 1955
17             }, 
18             'year': {
19               '$lt': 1975
20             }
21           }
22         ]
23       }, 
24       'queryVector': 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
25       'numCandidates': 150, 
26       'limit': 10
27     }
28   }, {
29     '$project': {
30       '_id': 0, 
31       'title': 1, 
32       'plot': 1, 
33       'year': 1, 
34       'score': {
35         '$meta': 'vectorSearchScore'
36       }
37     }
38   }
39 ]
40 
41 # run pipeline
42 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
43 
44 # print results
45 for i in result:
46     print(i)
47

1 {'plot': 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7489712834358215}
2 {'plot': 'While hearing the story of "Gulliver\'s Travels", a young boy dreams he is the title character on the island of Lilliput .', 'title': 'The New Gulliver', 'year': 1935, 'score': 0.7459166049957275}
3 {'plot': 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.', 'title': 'The Little Prince', 'year': 1974, 'score': 0.7346078753471375}
4 {'plot': 'Pistol-packing tomboy, and grandfather come to discover band of bank robbing bandits taking refuge in the neighboring ghost town.', 'title': 'Yellow Sky', 'year': 1948, 'score': 0.7290171384811401}
5 {'plot': 'A boy raised by wolves tries to adapt to human village life.', 'title': 'Jungle Book', 'year': 1942, 'score': 0.7287350296974182}
6 {'plot': 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.', 'title': 'In Search of the Castaways', 'year': 1962, 'score': 0.7281590104103088}
7 {'plot': 'Peter Pan enters the nursery of the Darling children and, with the help of fairy dust, leads them off to Never Never Land, where they meet the nefarious Captain Hook.', 'title': 'Peter Pan', 'year': 1924, 'score': 0.7273794412612915}
8 {'plot': "In Africa, the girl Jill Young trades a baby gorilla with two natives and raises the animal. Twelve years later, the talkative and persuasive promoter Max O'Hara organizes a safari to ...", 'title': 'Mighty Joe Young', 'year': 1949, 'score': 0.7219074368476868}
9 {'plot': 'A living puppet, with the help of a cricket as his conscience, must prove himself worthy to become a real boy.', 'title': 'Pinocchio', 'year': 1940, 'score': 0.721661388874054}
10 {'plot': 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.', 'title': 'Bedknobs and Broomsticks', 'year': 1971, 'score': 0.720349133014679}

Tip

追加のフィルター例

ENN の例

次のクエリは、 $vectorSearchステージでstringのベクトル埋め込みを使用してplot_embedding_voyage_3_largeフィールドを検索します。完全一致をリクエストし、結果を10ドキュメントのみに制限します。このクエリでは、次の操作を実行するために$projectステージも指定しています。

_idフィールドを除外し、結果にはplot 、 title 、 yearフィールドのみを含めます。
結果内にドキュメントのベクトル検索スコアを表示するscoreという名前のフィールドを追加します。

次の埋め込みを query-embeddings.js という名前のファイルに保存してください。

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埋め込みをクエリで使用するには、ファイルを mongosh にロードしてください。
```
load('/<path-to-file>/query-embeddings.js');
```

次のクエリを実行します。

1 db.embedded_movies.aggregate([
2   {
3     "$vectorSearch": {
4       "index": "vector_index",
5       "path": "plot_embedding_voyage_3_large",
6       "queryVector": WORLD_WAR_EMBEDDING,
7       "exact": true,
8       "limit": 10
9     }
10   },
11   {
12     "$project": {
13       "_id": 0,
14       "plot": 1,
15       "title": 1,
16       "score": { $meta: "vectorSearchScore" }
17     }
18   }
19 ])

1 [
2   {
3     plot: 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.',
4     title: 'The Star',
5     score: 0.7459506392478943
6   },
7   {
8     plot: "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
9     title: 'P-51 Dragon Fighter',
10     score: 0.7430292367935181
11   },
12   {
13     plot: 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.',
14     title: 'Fury',
15     score: 0.7428240776062012
16   },
17   {
18     plot: "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...",
19     title: 'Memphis Belle',
20     score: 0.7340154647827148
21   },
22   {
23     plot: 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...',
24     title: 'The Young Lions',
25     score: 0.7327103614807129
26   },
27   {
28     plot: 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.',
29     title: 'White Tiger',
30     score: 0.732368528842926
31   },
32   {
33     plot: 'The story of ordinary men during WWII as seen from three different points of View.',
34     title: 'The Fallen',
35     score: 0.7301670908927917
36   },
37   {
38     plot: 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.',
39     title: 'War Pigs',
40     score: 0.7290490865707397
41   },
42   {
43     plot: 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...',
44     title: 'The Red Baron',
45     score: 0.728823184967041
46   },
47   {
48     plot: 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.',
49     title: 'Battle of Britain',
50     score: 0.7270985245704651
51   }
52 ]

1 using MongoDB.Bson;
2 using MongoDB.Bson.Serialization.Attributes;
3 using MongoDB.Bson.Serialization.Conventions;
4 using MongoDB.Driver;
5 using MongoDB.Driver.Search;
6 
7 public class vectorSearchBasicQuery 
8 {
9   // define connection to your Atlas cluster
10   private const string MongoConnectionString = "<connection-string>";
11 
12   public static void Main(string[] args){
13     var camelCaseConvention = new ConventionPack { new CamelCaseElementNameConvention() };
14     ConventionRegistry.Register("CamelCase", camelCaseConvention, type => true);
15 
16     // connect to your Atlas cluster
17     var mongoClient = new MongoClient(MongoConnectionString);
18 
19     // define namespace
20     var moviesDatabase = mongoClient.GetDatabase("sample_mflix");
21     var moviesCollection = moviesDatabase.GetCollection<EmbeddedMovie>("embedded_movies");
22 
23     // define vector embeddings to search
24     var vector = new[] 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7938282,-0.001239097,0.00737414,0.029335376,0.014828872,0.043519516,-0.029335376,-0.04287478,0.017166032,-0.015957156,0.004210916,0.029335376,-0.035299163,0.032559045,-0.02095384,0.026756443,-0.023210408,-0.001037618,0.008220353,-0.031914312,0.002216272,-0.030141294,0.007092069,0.015554197,-0.001229023,-0.014022955,-0.002981893,-0.006326448,-0.034976795,0.012411121,-0.024499875,-0.026111709,0.015070647,0.036427446,0.01523183,0.060282588};
25     var options = new VectorSearchOptions<EmbeddedMovie>() {
26         IndexName = "vector_index",
27         Exact = true
28     };
29 
30     // run query
31     var results = moviesCollection.Aggregate()
32                 .VectorSearch(m => m.Embedding, vector, 10, options)
33                 .Project(Builders<EmbeddedMovie>.Projection
34                   .Include(m => m.Title)
35                   .Include(movie => movie.Plot))
36                 .ToList();
37 
38     // print results
39     foreach (var movie in results)
40       {
41         Console.WriteLine(movie.ToJson());
42       }
43   }
44 }
45 
46 [BsonIgnoreExtraElements]
47 public class EmbeddedMovie
48 {
49     [BsonIgnoreIfDefault]
50     public string Title { get; set; }
51     public string Plot { get; set; }
52     [BsonElement("plot_embedding_voyage_3_large")]
53     public double[] Embedding { get; set; }
54 }

1 { "_id" : { "$oid" : "573a13aaf29313caabd2144d" }, "plot" : "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title" : "The Star" }
2 { "_id" : { "$oid" : "573a13e1f29313caabdbc094" }, "plot" : "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title" : "P-51 Dragon Fighter" }
3 { "_id" : { "$oid" : "573a13e1f29313caabdbbce8" }, "plot" : "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title" : "Fury" }
4 { "_id" : { "$oid" : "573a1399f29313caabcec130" }, "plot" : "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title" : "Memphis Belle" }
5 { "_id" : { "$oid" : "573a1394f29313caabce0d70" }, "plot" : "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title" : "The Young Lions" }
6 { "_id" : { "$oid" : "573a13daf29313caabdad76b" }, "plot" : "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title" : "White Tiger" }
7 { "_id" : { "$oid" : "573a13aef29313caabd2e8d0" }, "plot" : "The story of ordinary men during WWII as seen from three different points of View.", "title" : "The Fallen" }
8 { "_id" : { "$oid" : "573a13f1f29313caabddb924" }, "plot" : "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title" : "War Pigs" }
9 { "_id" : { "$oid" : "573a13adf29313caabd2a8cf" }, "plot" : "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title" : "The Red Baron" }
10 { "_id" : { "$oid" : "573a1396f29313caabce39a8" }, "plot" : "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title" : "Battle of Britain" }

1 package main
2 
3 import (
4 	"context"
5 	"fmt"
6 	"log"
7 
8 	"go.mongodb.org/mongo-driver/v2/bson"
9 	"go.mongodb.org/mongo-driver/v2/mongo"
10 	"go.mongodb.org/mongo-driver/v2/mongo/options"
11 )
12 
13 func main() {
14 	ctx := context.Background()
15 
16 	// Replace the placeholder with your Atlas connection string
17 	const uri = "<connection-string>"
18 
19 	// Connect to your Atlas cluster
20 	clientOptions := options.Client().ApplyURI(uri)
21 	client, err := mongo.Connect(clientOptions)
22 	if err != nil {
23 		log.Fatalf("failed to connect to the server: %v", err)
24 	}
25 	defer func() { _ = client.Disconnect(ctx) }()
26 
27 	// Set the namespace
28 	coll := client.Database("sample_mflix").Collection("embedded_movies")
29 
30 	queryVector := [2048]float64{
31 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32 	}
33 
34 	vectorSearchStage := bson.D{
35 		{"$vectorSearch", bson.D{
36 			{"index", "vector_index"},
37 			{"path", "plot_embedding_voyage_3_large"},
38 			{"queryVector", queryVector},
39 			{"exact", true},
40 			{"limit", 10},
41 		}}}
42 
43 	projectStage := bson.D{
44 		{"$project", bson.D{
45 			{"_id", 0},
46 			{"plot", 1},
47 			{"title", 1},
48 			{"score", bson.D{{"$meta", "vectorSearchScore"}}},
49 		}}}
50 
51 	cursor, err := coll.Aggregate(ctx, mongo.Pipeline{vectorSearchStage, projectStage})
52 	if err != nil {
53 		log.Fatalf("failed to retrieve data from the server: %v", err)
54 	}
55 	// display the results
56 	type ProjectedMovieResult struct {
57 		Title string  `bson:"title"`
58 		Plot  string  `bson:"plot"`
59 		Score float64 `bson:"score"`
60 	}
61 
62 	var results []ProjectedMovieResult
63 	if err = cursor.All(ctx, &results); err != nil {
64 		log.Fatalf("failed to unmarshal retrieved docs to ProjectedMovieResult objects: %v", err)
65 	}
66 	for _, result := range results {
67 		fmt.Printf("Title: %v \nPlot: %v \nScore: %v \n\n", result.Title, result.Plot, result.Score)
68 	}
69 }

1 Title: The Star 
2 Plot: During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard. 
3 Score: 0.7459506392478943 
4 
5 Title: P-51 Dragon Fighter 
6 Plot: As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons. 
7 Score: 0.7430292367935181 
8 
9 Title: Fury 
10 Plot: April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany. 
11 Score: 0.7428240776062012 
12 
13 Title: Memphis Belle 
14 Plot: It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ... 
15 Score: 0.7340154647827148 
16 
17 Title: The Young Lions 
18 Plot: The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ... 
19 Score: 0.7327103614807129 
20 
21 Title: White Tiger 
22 Plot: Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction. 
23 Score: 0.732368528842926 
24 
25 Title: The Fallen 
26 Plot: The story of ordinary men during WWII as seen from three different points of View. 
27 Score: 0.7301670908927917 
28 
29 Title: War Pigs 
30 Plot: A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary. 
31 Score: 0.7290490865707397 
32 
33 Title: The Red Baron 
34 Plot: Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ... 
35 Score: 0.728823184967041 
36 
37 Title: Battle of Britain 
38 Plot: In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain. 
39 Score: 0.7270985245704651

1 import static com.mongodb.client.model.Aggregates.*;  
2 import static com.mongodb.client.model.Projections.*;  
3 import static com.mongodb.client.model.search.SearchPath.fieldPath;  
4 import static java.util.Arrays.asList;  
5   
6 import com.mongodb.client.MongoClient;  
7 import com.mongodb.client.MongoClients;  
8 import com.mongodb.client.MongoCollection;  
9 import com.mongodb.client.MongoDatabase;  
10 import com.mongodb.client.model.search.FieldSearchPath;  
11 import com.mongodb.client.model.search.VectorSearchOptions;  
12 import org.bson.Document;
13 import org.bson.conversions.Bson;
14 
15 import java.util.List;  
16   
17 public class FilterQuery {  
18     public static void main(String[] args) {  
19         // Specify connection URI  
20         String uri = "<connection-string>";  
21   
22         // Establish MongoDB connection  
23         try (MongoClient mongoClient = MongoClients.create(uri)) {  
24             MongoDatabase database = mongoClient.getDatabase("sample_mflix");  
25             MongoCollection<Document> collection = database.getCollection("embedded_movies");  
26   
27             // Parameters  
28             List<Double> queryVector = 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 
29             String indexName = "vector_index";  
30             FieldSearchPath fieldSearchPath = fieldPath("plot_embedding_voyage_3_large");  
31             long limit = 10; 
32   
33             // Create ExactVectorSearchOptions for precise matching  
34             VectorSearchOptions options = VectorSearchOptions.exactVectorSearchOptions();  
35   
36             // Define the aggregation pipeline  
37             List<Bson> pipeline = asList(  
38                 vectorSearch(  
39                     fieldSearchPath,  
40                     queryVector,  
41                     indexName,  
42                     limit,  
43                     options  
44                 ),  
45                 project(  
46                     fields(  
47                         exclude("_id"),        
48                         include("title"),         
49                         include("plot"),         
50                         metaVectorSearchScore("score") 
51                     )  
52                 )  
53             );  
54   
55             // Run aggregation query and print results  
56             collection.aggregate(pipeline).forEach(doc -> System.out.println(doc.toJson()));  
57         }  
58     }  
59 }

1 {"plot": "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title": "The Star", "score": 0.7459505200386047}
2 {"plot": "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title": "P-51 Dragon Fighter", "score": 0.7430291771888733}
3 {"plot": "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title": "Fury", "score": 0.7428240180015564}
4 {"plot": "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title": "Memphis Belle", "score": 0.7340154647827148}
5 {"plot": "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title": "The Young Lions", "score": 0.7327103614807129}
6 {"plot": "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title": "White Tiger", "score": 0.7323684692382812}
7 {"plot": "The story of ordinary men during WWII as seen from three different points of View.", "title": "The Fallen", "score": 0.7301670908927917}
8 {"plot": "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title": "War Pigs", "score": 0.7290489673614502}
9 {"plot": "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title": "The Red Baron", "score": 0.7288231253623962}
10 {"plot": "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title": "Battle of Britain", "score": 0.7270984649658203}

1 const { MongoClient } = require("mongodb");
2 
3 // connect to your Atlas cluster
4 const uri = "<connection-string>";
5     
6 const client = new MongoClient(uri);
7 
8 async function run() {
9     try {
10         await client.connect();
11 
12         // set namespace
13         const database = client.db("sample_mflix");
14         const coll = database.collection("embedded_movies");
15 
16         // define pipeline
17         const agg = [
18             {
19               '$vectorSearch': {
20                 'index': 'vector_index', 
21                 'path': 'plot_embedding_voyage_3_large', 
22                 'queryVector': [
23                   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24                 ], 
25                 'exact': true, 
26                 'limit': 10
27               }
28             }, {
29               '$project': {
30                 '_id': 0, 
31                 'plot': 1, 
32                 'title': 1, 
33                 'score': {
34                   '$meta': 'vectorSearchScore'
35                 }
36               }
37             }
38           ];
39         // run pipeline
40         const result = coll.aggregate(agg);
41 
42         // print results
43         await result.forEach((doc) => console.dir(JSON.stringify(doc)));
44     } finally {
45         await client.close();
46     }
47 }
48 run().catch(console.dir);

1 '{"plot":"During WW2 the Russian Army sent a special group named \\"Zvezda\\" to fight the Nazis in their backyard.","title":"The Star","score":0.7459506392478943}'
2 `{"plot":"As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.","title":"P-51 Dragon Fighter","score":0.7430292367935181}`
3 '{"plot":"April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.","title":"Fury","score":0.7428240776062012}'
4 `{"plot":"It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...","title":"Memphis Belle","score":0.7340154647827148}`
5 '{"plot":"The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...","title":"The Young Lions","score":0.7327103614807129}'
6 '{"plot":"Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.","title":"White Tiger","score":0.732368528842926}'
7 '{"plot":"The story of ordinary men during WWII as seen from three different points of View.","title":"The Fallen","score":0.7301670908927917}'
8 '{"plot":"A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.","title":"War Pigs","score":0.7290490865707397}'
9 '{"plot":"Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...","title":"The Red Baron","score":0.728823184967041}'
10 '{"plot":"In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.","title":"Battle of Britain","score":0.7270985245704651}'

この例の実行可能なバージョンを Python エディタとして使用します。

1 import pymongo
2 
3 # connect to your Atlas cluster
4 client = pymongo.MongoClient("<connection-string>")
5 
6 # define pipeline
7 pipeline = [
8   {
9     '$vectorSearch': {
10       'index': 'vector_index', 
11       'path': 'plot_embedding_voyage_3_large', 
12       'queryVector': 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
13       'exact': True, 
14       'limit': 10
15     }
16   }, {
17     '$project': {
18       '_id': 0, 
19       'plot': 1, 
20       'title': 1, 
21       'score': {
22         '$meta': 'vectorSearchScore'
23       }
24     }
25   }
26 ]
27 
28 # run pipeline
29 result = client["sample_mflix"]["embedded_movies"].aggregate(pipeline)
30 
31 # print results
32 for i in result:
33     print(i)
34

1 {'plot': 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.', 'title': 'The Star', 'score': 0.7459506392478943}
2 {'plot': "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", 'title': 'P-51 Dragon Fighter', 'score': 0.7430292367935181}
3 {'plot': 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.', 'title': 'Fury', 'score': 0.7428240776062012}
4 {'plot': "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", 'title': 'Memphis Belle', 'score': 0.7340154647827148}
5 {'plot': 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...', 'title': 'The Young Lions', 'score': 0.7327103614807129}
6 {'plot': 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.', 'title': 'White Tiger', 'score': 0.732368528842926}
7 {'plot': 'The story of ordinary men during WWII as seen from three different points of View.', 'title': 'The Fallen', 'score': 0.7301670908927917}
8 {'plot': 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.', 'title': 'War Pigs', 'score': 0.7290490865707397}
9 {'plot': 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...', 'title': 'The Red Baron', 'score': 0.728823184967041}
10 {'plot': 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.', 'title': 'Battle of Britain', 'score': 0.7270985245704651}

戻る

インデックスの作成と管理

クエリ結果の説明

1	db.<collection>.aggregate([
2	{
3	"$vectorSearch": {
4	<query-syntax>
5	}
6	},
7	{
8	"$project": {
9	"<field-to-include>": 1,
10	"<field-to-exclude>": 0,
11	"score": { "$meta": "vectorSearchScore" }
12	}
13	}
14	])

1	db.embedded_movies.aggregate([
2	{
3	"$vectorSearch": {
4	"index": "vector_index",
5	"path": "plot_embedding_voyage_3_large",
6	"queryVector": TIME_TRAVEL_EMBEDDING,
7	"numCandidates": 150,
8	"limit": 10,
9	"quantization": "scalar"
10	}
11	},
12	{
13	"$project": {
14	"_id": 0,
15	"plot": 1,
16	"title": 1,
17	"score": { $meta: "vectorSearchScore" }
18	}
19	}
20	])

1	[
2	{
3	plot: 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.',
4	title: 'About Time',
5	score: 0.7710106372833252
6	},
7	{
8	plot: 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.',
9	title: 'Retroactive',
10	score: 0.760047972202301
11	},
12	{
13	plot: 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...',
14	title: 'A.P.E.X.',
15	score: 0.7576861381530762
16	},
17	{
18	plot: 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.',
19	title: 'Timecop',
20	score: 0.7576561570167542
21	},
22	{
23	plot: 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.',
24	title: 'Back to the Future Part II',
25	score: 0.7521393895149231
26	},
27	{
28	plot: 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.',
29	title: 'Thrill Seekers',
30	score: 0.7509932518005371
31	},
32	{
33	plot: 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...',
34	title: 'Timerider: The Adventure of Lyle Swann',
35	score: 0.7502642869949341
36	},
37	{
38	plot: 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.',
39	title: 'The Time Machine',
40	score: 0.7502503395080566
41	},
42	{
43	plot: 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.',
44	title: "The Time Traveler's Wife",
45	score: 0.749496340751648
46	},
47	{
48	plot: 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.',
49	title: 'The Final Countdown',
50	score: 0.7469133734703064
51	}
52	]

1	[
2	{
3	plot: 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.',
4	title: 'Chitty Chitty Bang Bang',
5	year: 1968,
6	score: 0.7489712834358215
7	},
8	{
9	plot: 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.',
10	title: 'The Little Prince',
11	year: 1974,
12	score: 0.7346078753471375
13	},
14	{
15	plot: 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.',
16	title: 'In Search of the Castaways',
17	year: 1962,
18	score: 0.7281590104103088
19	},
20	{
21	plot: 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.',
22	title: 'Bedknobs and Broomsticks',
23	year: 1971,
24	score: 0.720349133014679
25	},
26	{
27	plot: "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.",
28	title: 'Pastoral Hide and Seek',
29	year: 1974,
30	score: 0.7195663452148438
31	},
32	{
33	plot: 'In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...',
34	title: 'Peter Pan',
35	year: 1960,
36	score: 0.7195032238960266
37	},
38	{
39	plot: 'When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...',
40	title: 'The Cowboys',
41	year: 1972,
42	score: 0.717952311038971
43	},
44	{
45	plot: 'When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.',
46	title: 'The 7th Voyage of Sinbad',
47	year: 1958,
48	score: 0.7148033380508423
49	},
50	{
51	plot: 'A red balloon with a life of its own follows a little boy around the streets of Paris.',
52	title: 'The Red Balloon',
53	year: 1956,
54	score: 0.7147064805030823
55	},
56	{
57	plot: 'This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...',
58	title: 'Perri',
59	year: 1957,
60	score: 0.712087094783783
61	}
62	]

1	{ "plot" : "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title" : "About Time", "score" : 0.7710106372833252 }
2	{ "plot" : "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title" : "Retroactive", "score" : 0.76004797220230103 }
3	{ "plot" : "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title" : "A.P.E.X.", "score" : 0.75768613815307617 }
4	{ "plot" : "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title" : "Timecop", "score" : 0.75765615701675415 }
5	{ "plot" : "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title" : "Back to the Future Part II", "score" : 0.7521393895149231 }
6	{ "plot" : "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title" : "Thrill Seekers", "score" : 0.75099325180053711 }
7	{ "plot" : "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title" : "Timerider: The Adventure of Lyle Swann", "score" : 0.75026428699493408 }
8	{ "plot" : "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title" : "The Time Machine", "score" : 0.75025033950805664 }
9	{ "plot" : "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title" : "The Time Traveler's Wife", "score" : 0.74949634075164795 }
10	{ "plot" : "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title" : "The Final Countdown", "score" : 0.7469133734703064 }

1	{ "_id" : { "$oid" : "573a1396f29313caabce34d3" }, "plot" : "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title" : "Chitty Chitty Bang Bang", "year" : 1968, "score" : 0.74897128343582153 }
2	{ "_id" : { "$oid" : "573a1396f29313caabce5648" }, "plot" : "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title" : "The Little Prince", "year" : 1974, "score" : 0.73460787534713745 }
3	{ "_id" : { "$oid" : "573a1395f29313caabce1b8d" }, "plot" : "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title" : "In Search of the Castaways", "year" : 1962, "score" : 0.72815901041030884 }
4	{ "_id" : { "$oid" : "573a1396f29313caabce43e1" }, "plot" : "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title" : "Bedknobs and Broomsticks", "year" : 1971, "score" : 0.72034913301467896 }
5	{ "_id" : { "$oid" : "573a1396f29313caabce54e6" }, "plot" : "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title" : "Pastoral Hide and Seek", "year" : 1974, "score" : 0.71956634521484375 }
6	{ "_id" : { "$oid" : "573a1395f29313caabce143b" }, "plot" : "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title" : "Peter Pan", "year" : 1960, "score" : 0.71950322389602661 }
7	{ "_id" : { "$oid" : "573a1396f29313caabce49bf" }, "plot" : "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title" : "The Cowboys", "year" : 1972, "score" : 0.71795231103897095 }
8	{ "_id" : { "$oid" : "573a1394f29313caabce0951" }, "plot" : "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title" : "The 7th Voyage of Sinbad", "year" : 1958, "score" : 0.71480333805084229 }
9	{ "_id" : { "$oid" : "573a1394f29313caabce000d" }, "plot" : "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title" : "The Red Balloon", "year" : 1956, "score" : 0.71470648050308228 }
10	{ "_id" : { "$oid" : "573a1394f29313caabce074d" }, "plot" : "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title" : "Perri", "year" : 1957, "score" : 0.71208715438842773 }

1	Title: About Time
2	Plot: At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.
3	Score: 0.7710106372833252
4
5	Title: Retroactive
6	Plot: A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.
7	Score: 0.760047972202301
8
9	Title: A.P.E.X.
10	Plot: A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...
11	Score: 0.7576861381530762
12
13	Title: Timecop
14	Plot: An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.
15	Score: 0.7576561570167542
16
17	Title: Back to the Future Part II
18	Plot: After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.
19	Score: 0.7521393895149231
20
21	Title: Thrill Seekers
22	Plot: A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.
23	Score: 0.7509932518005371
24
25	Title: Timerider: The Adventure of Lyle Swann
26	Plot: Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...
27	Score: 0.7502642869949341
28
29	Title: The Time Machine
30	Plot: Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.
31	Score: 0.7502503395080566
32
33	Title: The Time Traveler's Wife
34	Plot: A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.
35	Score: 0.749496340751648
36
37	Title: The Final Countdown
38	Plot: A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.
39	Score: 0.7469133734703064

1	Title: Chitty Chitty Bang Bang
2	Plot: A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.
3	Year: 1968
4	Score: 0.7489712834358215
5
6	Title: The Little Prince
7	Plot: A pilot, stranded in the desert, meets a little boy who is a prince on a planet.
8	Year: 1974
9	Score: 0.7346078753471375
10
11	Title: In Search of the Castaways
12	Plot: In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.
13	Year: 1962
14	Score: 0.7281590104103088
15
16	Title: Bedknobs and Broomsticks
17	Plot: An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.
18	Year: 1971
19	Score: 0.720349133014679
20
21	Title: Pastoral Hide and Seek
22	Plot: A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.
23	Year: 1974
24	Score: 0.7195663452148438
25
26	Title: Peter Pan
27	Plot: In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...
28	Year: 1960
29	Score: 0.7195032238960266
30
31	Title: The Cowboys
32	Plot: When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...
33	Year: 1972
34	Score: 0.717952311038971
35
36	Title: The 7th Voyage of Sinbad
37	Plot: When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.
38	Year: 1958
39	Score: 0.7148033380508423
40
41	Title: The Red Balloon
42	Plot: A red balloon with a life of its own follows a little boy around the streets of Paris.
43	Year: 1956
44	Score: 0.7147064805030823
45
46	Title: Perri
47	Plot: This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...
48	Year: 1957
49	Score: 0.7120871543884277

1	{"plot": "At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.", "title": "About Time", "score": 0.7710106372833252}
2	{"plot": "A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.", "title": "Retroactive", "score": 0.760047972202301}
3	{"plot": "A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...", "title": "A.P.E.X.", "score": 0.7576861381530762}
4	{"plot": "An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.", "title": "Timecop", "score": 0.7576561570167542}
5	{"plot": "After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.", "title": "Back to the Future Part II", "score": 0.7521393895149231}
6	{"plot": "A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.", "title": "Thrill Seekers", "score": 0.7509932518005371}
7	{"plot": "Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...", "title": "Timerider: The Adventure of Lyle Swann", "score": 0.7502642869949341}
8	{"plot": "Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.", "title": "The Time Machine", "score": 0.7502503395080566}
9	{"plot": "A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.", "title": "The Time Traveler's Wife", "score": 0.749496340751648}
10	{"plot": "A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.", "title": "The Final Countdown", "score": 0.7469133734703064}

1	{"plot": "A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.", "title": "Chitty Chitty Bang Bang", "year": 1968, "score": 0.7489712834358215}
2	{"plot": "A pilot, stranded in the desert, meets a little boy who is a prince on a planet.", "title": "The Little Prince", "year": 1974, "score": 0.7346078753471375}
3	{"plot": "In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.", "title": "In Search of the Castaways", "year": 1962, "score": 0.7281590104103088}
4	{"plot": "An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.", "title": "Bedknobs and Broomsticks", "year": 1971, "score": 0.720349133014679}
5	{"plot": "A young boys' coming of age tale set in a strange, carnivalesque village becomes the recreation of a memory that the director has twenty years later.", "title": "Pastoral Hide and Seek", "year": 1974, "score": 0.7195663452148438}
6	{"plot": "In this magical tale about the boy who refuses to grow up, Peter Pan and his mischievous fairy sidekick Tinkerbell visit the nursery of Wendy, Michael, and John Darling. With a sprinkling ...", "title": "Peter Pan", "year": 1960, "score": 0.7195032238960266}
7	{"plot": "When his cattle drivers abandon him for the gold fields, rancher Wil Andersen is forced to take on a collection of young boys as his drivers in order to get his herd to market in time to ...", "title": "The Cowboys", "year": 1972, "score": 0.717952311038971}
8	{"plot": "When a princess is shrunken by an evil wizard, Sinbad must undertake a quest to an island of monsters to cure her and prevent a war.", "title": "The 7th Voyage of Sinbad", "year": 1958, "score": 0.7148033380508423}
9	{"plot": "A red balloon with a life of its own follows a little boy around the streets of Paris.", "title": "The Red Balloon", "year": 1956, "score": 0.7147064805030823}
10	{"plot": "This True Life Fantasy follows and shows how the life of a female squirrel, Perri, in the forest is filled with danger and fraught with peril. When not fleeing her natural enemy, the Marten...", "title": "Perri", "year": 1957, "score": 0.7120871543884277}

1	'{"plot":"At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.","title":"About Time","score":0.7710106372833252}'
2	'{"plot":"A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.","title":"Retroactive","score":0.760047972202301}'
3	'{"plot":"A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...","title":"A.P.E.X.","score":0.7576861381530762}'
4	'{"plot":"An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.","title":"Timecop","score":0.7576561570167542}'
5	'{"plot":"After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.","title":"Back to the Future Part II","score":0.7521393895149231}'
6	'{"plot":"A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.","title":"Thrill Seekers","score":0.7509932518005371}'
7	'{"plot":"Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...","title":"Timerider: The Adventure of Lyle Swann","score":0.7502642869949341}'
8	'{"plot":"Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.","title":"The Time Machine","score":0.7502503395080566}'
9	`{"plot":"A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.","title":"The Time Traveler's Wife","score":0.749496340751648}`
10	'{"plot":"A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.","title":"The Final Countdown","score":0.7469133734703064}'

1	'{"plot":"A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.","title":"Chitty Chitty Bang Bang","year":1968,"score":0.7489712834358215}'
2	`{"plot":"While hearing the story of \\"Gulliver's Travels\\", a young boy dreams he is the title character on the island of Lilliput .","title":"The New Gulliver","year":1935,"score":0.7459166049957275}`
3	'{"plot":"A pilot, stranded in the desert, meets a little boy who is a prince on a planet.","title":"The Little Prince","year":1974,"score":0.7346078753471375}'
4	'{"plot":"Pistol-packing tomboy, and grandfather come to discover band of bank robbing bandits taking refuge in the neighboring ghost town.","title":"Yellow Sky","year":1948,"score":0.7290171384811401}'
5	'{"plot":"A boy raised by wolves tries to adapt to human village life.","title":"Jungle Book","year":1942,"score":0.7287350296974182}'
6	'{"plot":"In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.","title":"In Search of the Castaways","year":1962,"score":0.7281590104103088}'
7	'{"plot":"Peter Pan enters the nursery of the Darling children and, with the help of fairy dust, leads them off to Never Never Land, where they meet the nefarious Captain Hook.","title":"Peter Pan","year":1924,"score":0.7273794412612915}'
8	`{"plot":"In Africa, the girl Jill Young trades a baby gorilla with two natives and raises the animal. Twelve years later, the talkative and persuasive promoter Max O'Hara organizes a safari to ...","title":"Mighty Joe Young","year":1949,"score":0.7219074368476868}`
9	'{"plot":"A living puppet, with the help of a cricket as his conscience, must prove himself worthy to become a real boy.","title":"Pinocchio","year":1940,"score":0.721661388874054}'
10	'{"plot":"An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.","title":"Bedknobs and Broomsticks","year":1971,"score":0.720349133014679}'

1	{'plot': 'At the age of 21, Tim discovers he can travel in time and change what happens and has happened in his own life. His decision to make his world a better place by getting a girlfriend turns out not to be as easy as you might think.', 'title': 'About Time', 'score': 0.7710106372833252}
2	{'plot': 'A psychiatrist makes multiple trips through time to save a woman that was murdered by her brutal husband.', 'title': 'Retroactive', 'score': 0.760047972202301}
3	{'plot': 'A time-travel experiment in which a robot probe is sent from the year 2073 to the year 1973 goes terribly wrong thrusting one of the project scientists, a man named Nicholas Sinclair into a...', 'title': 'A.P.E.X.', 'score': 0.7576861381530762}
4	{'plot': 'An officer for a security agency that regulates time travel, must fend for his life against a shady politician who has a tie to his past.', 'title': 'Timecop', 'score': 0.7576561570167542}
5	{'plot': 'After visiting 2015, Marty McFly must repeat his visit to 1955 to prevent disastrous changes to 1985... without interfering with his first trip.', 'title': 'Back to the Future Part II', 'score': 0.7521393895149231}
6	{'plot': 'A reporter, learning of time travelers visiting 20th century disasters, tries to change the history they know by averting upcoming disasters.', 'title': 'Thrill Seekers', 'score': 0.7509932518005371}
7	{'plot': 'Lyle, a motorcycle champion is traveling the Mexican desert, when he find himself in the action radius of a time machine. So he find himself one century back in the past between rapists, ...', 'title': 'Timerider: The Adventure of Lyle Swann', 'score': 0.7502642869949341}
8	{'plot': 'Hoping to alter the events of the past, a 19th century inventor instead travels 800,000 years into the future, where he finds humankind divided into two warring races.', 'title': 'The Time Machine', 'score': 0.7502503395080566}
9	{'plot': 'A romantic drama about a Chicago librarian with a gene that causes him to involuntarily time travel, and the complications it creates for his marriage.', 'title': "The Time Traveler's Wife", 'score': 0.749496340751648}
10	{'plot': 'A modern aircraft carrier is thrown back in time to 1941 near Hawaii, just hours before the Japanese attack on Pearl Harbor.', 'title': 'The Final Countdown', 'score': 0.7469133734703064}

1	{'plot': 'A down-on-his-luck inventor turns a broken-down Grand Prix car into a fancy vehicle for his children, and then they go off on a magical fantasy adventure to save their grandfather in a far-off land.', 'title': 'Chitty Chitty Bang Bang', 'year': 1968, 'score': 0.7489712834358215}
2	{'plot': 'While hearing the story of "Gulliver\'s Travels", a young boy dreams he is the title character on the island of Lilliput .', 'title': 'The New Gulliver', 'year': 1935, 'score': 0.7459166049957275}
3	{'plot': 'A pilot, stranded in the desert, meets a little boy who is a prince on a planet.', 'title': 'The Little Prince', 'year': 1974, 'score': 0.7346078753471375}
4	{'plot': 'Pistol-packing tomboy, and grandfather come to discover band of bank robbing bandits taking refuge in the neighboring ghost town.', 'title': 'Yellow Sky', 'year': 1948, 'score': 0.7290171384811401}
5	{'plot': 'A boy raised by wolves tries to adapt to human village life.', 'title': 'Jungle Book', 'year': 1942, 'score': 0.7287350296974182}
6	{'plot': 'In 19th century England young Mary Grant and her brother Robert Grant embark on a dangerous quest to find their missing father,sea captain Grant,who vanished somewhere along the Chilean coast.', 'title': 'In Search of the Castaways', 'year': 1962, 'score': 0.7281590104103088}
7	{'plot': 'Peter Pan enters the nursery of the Darling children and, with the help of fairy dust, leads them off to Never Never Land, where they meet the nefarious Captain Hook.', 'title': 'Peter Pan', 'year': 1924, 'score': 0.7273794412612915}
8	{'plot': "In Africa, the girl Jill Young trades a baby gorilla with two natives and raises the animal. Twelve years later, the talkative and persuasive promoter Max O'Hara organizes a safari to ...", 'title': 'Mighty Joe Young', 'year': 1949, 'score': 0.7219074368476868}
9	{'plot': 'A living puppet, with the help of a cricket as his conscience, must prove himself worthy to become a real boy.', 'title': 'Pinocchio', 'year': 1940, 'score': 0.721661388874054}
10	{'plot': 'An apprentice witch, three kids and a cynical conman search for the missing component to a magic spell useful to the defense of Britain.', 'title': 'Bedknobs and Broomsticks', 'year': 1971, 'score': 0.720349133014679}

1	[
2	{
3	plot: 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.',
4	title: 'The Star',
5	score: 0.7459506392478943
6	},
7	{
8	plot: "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.",
9	title: 'P-51 Dragon Fighter',
10	score: 0.7430292367935181
11	},
12	{
13	plot: 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.',
14	title: 'Fury',
15	score: 0.7428240776062012
16	},
17	{
18	plot: "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...",
19	title: 'Memphis Belle',
20	score: 0.7340154647827148
21	},
22	{
23	plot: 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...',
24	title: 'The Young Lions',
25	score: 0.7327103614807129
26	},
27	{
28	plot: 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.',
29	title: 'White Tiger',
30	score: 0.732368528842926
31	},
32	{
33	plot: 'The story of ordinary men during WWII as seen from three different points of View.',
34	title: 'The Fallen',
35	score: 0.7301670908927917
36	},
37	{
38	plot: 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.',
39	title: 'War Pigs',
40	score: 0.7290490865707397
41	},
42	{
43	plot: 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...',
44	title: 'The Red Baron',
45	score: 0.728823184967041
46	},
47	{
48	plot: 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.',
49	title: 'Battle of Britain',
50	score: 0.7270985245704651
51	}
52	]

1	{ "_id" : { "$oid" : "573a13aaf29313caabd2144d" }, "plot" : "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title" : "The Star" }
2	{ "_id" : { "$oid" : "573a13e1f29313caabdbc094" }, "plot" : "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title" : "P-51 Dragon Fighter" }
3	{ "_id" : { "$oid" : "573a13e1f29313caabdbbce8" }, "plot" : "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title" : "Fury" }
4	{ "_id" : { "$oid" : "573a1399f29313caabcec130" }, "plot" : "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title" : "Memphis Belle" }
5	{ "_id" : { "$oid" : "573a1394f29313caabce0d70" }, "plot" : "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title" : "The Young Lions" }
6	{ "_id" : { "$oid" : "573a13daf29313caabdad76b" }, "plot" : "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title" : "White Tiger" }
7	{ "_id" : { "$oid" : "573a13aef29313caabd2e8d0" }, "plot" : "The story of ordinary men during WWII as seen from three different points of View.", "title" : "The Fallen" }
8	{ "_id" : { "$oid" : "573a13f1f29313caabddb924" }, "plot" : "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title" : "War Pigs" }
9	{ "_id" : { "$oid" : "573a13adf29313caabd2a8cf" }, "plot" : "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title" : "The Red Baron" }
10	{ "_id" : { "$oid" : "573a1396f29313caabce39a8" }, "plot" : "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title" : "Battle of Britain" }

1	Title: The Star
2	Plot: During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.
3	Score: 0.7459506392478943
4
5	Title: P-51 Dragon Fighter
6	Plot: As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.
7	Score: 0.7430292367935181
8
9	Title: Fury
10	Plot: April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.
11	Score: 0.7428240776062012
12
13	Title: Memphis Belle
14	Plot: It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...
15	Score: 0.7340154647827148
16
17	Title: The Young Lions
18	Plot: The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...
19	Score: 0.7327103614807129
20
21	Title: White Tiger
22	Plot: Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.
23	Score: 0.732368528842926
24
25	Title: The Fallen
26	Plot: The story of ordinary men during WWII as seen from three different points of View.
27	Score: 0.7301670908927917
28
29	Title: War Pigs
30	Plot: A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.
31	Score: 0.7290490865707397
32
33	Title: The Red Baron
34	Plot: Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...
35	Score: 0.728823184967041
36
37	Title: Battle of Britain
38	Plot: In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.
39	Score: 0.7270985245704651

1	{"plot": "During WW2 the Russian Army sent a special group named \"Zvezda\" to fight the Nazis in their backyard.", "title": "The Star", "score": 0.7459505200386047}
2	{"plot": "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", "title": "P-51 Dragon Fighter", "score": 0.7430291771888733}
3	{"plot": "April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.", "title": "Fury", "score": 0.7428240180015564}
4	{"plot": "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", "title": "Memphis Belle", "score": 0.7340154647827148}
5	{"plot": "The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...", "title": "The Young Lions", "score": 0.7327103614807129}
6	{"plot": "Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.", "title": "White Tiger", "score": 0.7323684692382812}
7	{"plot": "The story of ordinary men during WWII as seen from three different points of View.", "title": "The Fallen", "score": 0.7301670908927917}
8	{"plot": "A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.", "title": "War Pigs", "score": 0.7290489673614502}
9	{"plot": "Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...", "title": "The Red Baron", "score": 0.7288231253623962}
10	{"plot": "In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.", "title": "Battle of Britain", "score": 0.7270984649658203}

1	'{"plot":"During WW2 the Russian Army sent a special group named \\"Zvezda\\" to fight the Nazis in their backyard.","title":"The Star","score":0.7459506392478943}'
2	`{"plot":"As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.","title":"P-51 Dragon Fighter","score":0.7430292367935181}`
3	'{"plot":"April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.","title":"Fury","score":0.7428240776062012}'
4	`{"plot":"It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...","title":"Memphis Belle","score":0.7340154647827148}`
5	'{"plot":"The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...","title":"The Young Lions","score":0.7327103614807129}'
6	'{"plot":"Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.","title":"White Tiger","score":0.732368528842926}'
7	'{"plot":"The story of ordinary men during WWII as seen from three different points of View.","title":"The Fallen","score":0.7301670908927917}'
8	'{"plot":"A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.","title":"War Pigs","score":0.7290490865707397}'
9	'{"plot":"Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...","title":"The Red Baron","score":0.728823184967041}'
10	'{"plot":"In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.","title":"Battle of Britain","score":0.7270985245704651}'

1	{'plot': 'During WW2 the Russian Army sent a special group named "Zvezda" to fight the Nazis in their backyard.', 'title': 'The Star', 'score': 0.7459506392478943}
2	{'plot': "As World War Two rages on, the allies are about to push the Nazis out of North Africa. That's when the Nazis turn up the heat, unleashing their secret Weapon - dragons.", 'title': 'P-51 Dragon Fighter', 'score': 0.7430292367935181}
3	{'plot': 'April, 1945. As the Allies make their final push in the European Theatre, a battle-hardened Army sergeant named Wardaddy commands a Sherman tank and his five-man crew on a deadly mission behind enemy lines. Outnumbered, out-gunned, and with a rookie soldier thrust into their platoon, Wardaddy and his men face overwhelming odds in their heroic attempts to strike at the heart of Nazi Germany.', 'title': 'Fury', 'score': 0.7428240776062012}
4	{'plot': "It's May 1943 at a US Army Air Corps base in England. The four officers and six enlisted men of the Memphis Belle - a B-17 bomber so nicknamed for the girlfriend of its stern and stoic ...", 'title': 'Memphis Belle', 'score': 0.7340154647827148}
5	{'plot': 'The destiny of three soldiers during World War II. The German officer Christian Diestl approves less and less of the war. Jewish-American Noah Ackerman deals with antisemitism at home and ...', 'title': 'The Young Lions', 'score': 0.7327103614807129}
6	{'plot': 'Great Patriotic War, early 1940s. After barely surviving a battle with a mysterious, ghostly-white Tiger tank, Red Army Sergeant Ivan Naydenov becomes obsessed with its destruction.', 'title': 'White Tiger', 'score': 0.732368528842926}
7	{'plot': 'The story of ordinary men during WWII as seen from three different points of View.', 'title': 'The Fallen', 'score': 0.7301670908927917}
8	{'plot': 'A rag tag unit of misfits known as the War Pigs must go behind enemy lines to exterminate Nazis by any means necessary.', 'title': 'War Pigs', 'score': 0.7290490865707397}
9	{'plot': 'Baron Manfred von Richthofen is the most feared and celebrated pilot of the German air force in World War I. To him and his companions, air combats are events of sporty nature, technical ...', 'title': 'The Red Baron', 'score': 0.728823184967041}
10	{'plot': 'In 1940, the British Royal Air Force fights a desperate battle vs. the Nazi Germany Air Force for control of British air space to prevent a Nazi invasion of Britain.', 'title': 'Battle of Britain', 'score': 0.7270985245704651}

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