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MongoDB Atlas Kubernetes Operator

Create an Atlas Vector Search Index with Kubernetes

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  • Prerequisites
  • Required Access
  • Procedure

Atlas Kubernetes Operator supports Atlas Vector Search indexes on Atlas clusters. To learn more, see How to Index Fields for Vector Search.

  • Running Kubernetes cluster with Atlas Kubernetes Operator deployed.

  • MongoDB version 6.0.11, 7.0.2, or higher on any cluster tier.

    Note

    You can't create more than:

    • 3 indexes on M0 clusters.

    • 5 indexes on M2 clusters.

    • 10 indexes on M5 clusters.

    There are no limits to the number of indexes you can create on M10+ clusters.

  • Collection to create the Atlas Vector Search index for.

You need the Project Data Access Admin or higher role to create and manage Atlas Vector Search indexes.

1

Configure the spec.deploymentSpec.searchIndexes object.

The following parameters apply to this object:

Parameter
Description
DBName

Human-readable label that identifies the existing database that contains the collection with one or more Atlas Search indexes.

IMPORTANT: The database that you specify must already exist. If you don't have an existing database, create one.

CollectionName
Human-readable label that identifies the collection that contains one or more Atlas Search indexes.
Type

Type of the index. Atlas accepts the following values:

  • search

  • vectorSearch

To learn more about the available parameters, see AtlasDeployment Custom Resource.

Example:

Run the following command.

cat <<EOF | kubectl apply -f -
apiVersion: atlas.mongodb.com/v1
kind: AtlasDeployment
metadata:
name: my-atlas-cluster
namespace: mongodb-atlas-system
spec:
projectRef:
name: my-project
deploymentSpec:
backupEnabled: true
clusterType: REPLICASET
name: Test-cluster-M10
replicationSpecs:
- regionConfigs:
- backingProviderName: AWS
electableSpecs:
instanceSize: M10
nodeCount: 3
priority: 7
providerName: AWS
regionName: US_EAST_1
zoneName: Zone 1
searchIndexes:
- DBName: sample_airbnb
collectionName: listingsAndReviews
name: my-index
vectorSearch:
fields: |
[
{"my-field":{"type": "vector", { ...},
]
type: vectorSearch
terminationProtectionEnabled: false
EOF

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