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MongoDB Atlas Search, built on Apache Lucene, is a fully embedded full-text search in MongoDB Atlas.
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MongoDB Atlas Search - Product Demo

MongoDB Atlas Search makes it easy to build fast, relevant, full-text search on top of your data in the cloud. In this demo, we show you how to build an Atlas Search index and write search queries using the $search stage in the MongoDB Aggregation Framework. We’ll also use our free sample movies dataset available in Atlas and three variations of a movie search application to show you what Atlas Search features look like in action. For more information on Atlas Search: -Overview: https://www.mongodb.com/atlas/search -Documentation: https://docs.atlas.mongodb.com/atlas-search/ Have product feedback or ideas? Submit them here: https://feedback.mongodb.com/forums/924868-atlas-search...
AtlasSearch

Jun 10, 2020
Tutorial

Influence Search Result Ranking with Function Scores in Atlas Search


Feb 03, 2023
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Get Hyped: Synonyms in Atlas Search


Feb 27, 2023
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Atlas Search Relevancy Explained


Aug 08, 2023
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Using Atlas Search from Java


Jul 14, 2023
SoccerAppPreview
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Atlas Search is a Game Changer!


Dec 07, 2022
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Learn to Build AI-Enhanced Retail Search Solutions with MongoDB and Databricks


Sep 25, 2023
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How to Implement Databricks Workflows and Atlas Vector Search for Enhanced Ecommerce Search Accuracy


Sep 22, 2023
Tutorial

Building Generative AI Applications Using MongoDB: Harnessing the Power of Atlas Vector Search and Open Source Models


Sep 26, 2023
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Goal! ⚽ MongoDB Atlas Search is a Game Changer!


Dec 06, 2022
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Learn About Full Text Search with Python


May 06, 2022
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MongoDB Atlas Search - Product Demo


Jun 10, 2020
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Tutorial

Learn to Build AI-Enhanced Retail Search Solutions with MongoDB and Databricks

Learn how to utilize MongoDB and Databricks to build ai-enhanced retail search solutions....

Sep 25, 2023
Francesco Baldissera (+2)
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Tutorial

How to Implement Databricks Workflows and Atlas Vector Search for Enhanced Ecommerce Search Accuracy

Learn how to implement Databricks Workflows and Atlas Vector Search for your Ecommerce accuracy....

Sep 22, 2023
Vittal Pai (+2)
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Article

Atlas Search Relevancy Explained

We've grown accustomed to expecting the best results for our search intentions. Now it’s your turn to build the same experience into your Atlas-powered app. ...

Aug 08, 2023
Erik Hatcher
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Tutorial

Building Generative AI Applications Using MongoDB: Harnessing the Power of Atlas Vector Search and Open Source Models

Learn how to build generative AI (GenAI) applications by harnessing the power of MongoDB Atlas and Vector Search....

Jul 25, 2023
Prakul Agarwal
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How to Do Semantic Search in MongoDB Using Atlas Vector Search

Learn how to get started with Vector Search on MongoDB while leveraging the OpenAI....

Jul 19, 2023
Benjamin Flast
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Using Atlas Search from Java

This article delves into using the Atlas Search support built into the MongoDB Java driver...

Jul 14, 2023
Erik Hatcher
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Adding Autocomplete To Your NextJS Applications With Atlas Search

In this tutorial, you will learn how to add the autocomplete feature to a website built with NextJS....

Feb 28, 2023
Abdulrasaq Jamiu Adewuyi
SoccerAppPreview
Article

Atlas Search is a Game Changer!

Atlas Search is truly a game changer to quickly build fine-grained search functionality into your applications. See how with this Atlas Search Soccer demo app....

Dec 07, 2022
Karen Huaulme
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Goal! ⚽ MongoDB Atlas Search is a Game Changer!

Atlas Search is truly a game changer to quickly build fine-grained search functionality into your applications. See how with this Atlas Search Soccer demo app. Equipped with only a search box, sliders, and checkboxes, find the world's best players with the most impossible-to-spell names to build out your own dream team. As you interact with the application, you'll see the $search operator in a MongoDB aggregation pipeline live in-action! Atlas Search Soccer App (best played on desktop): https://trymongodb.com/3VufblI Source Code: https://trymongodb.com/3FoJMvr Timestamps: 0:00 Intro 0:50 Demo Preview 1:35 1st player with text operator 2:04 Relevance-based score 2:32 2nd player with custom score modifier 3:29 3rd player with autocomplete 3:56 4th player with wildcard 4:26 Filters, facets and the compound operator 5:09 Facet code 5:40 Final demo 💬 Connect with Karen: Twitter: https://twitter.com/YouOldMaid LinkedIn:https://www.linkedin.com/in/karenhuaulme/ Instagram: https://www.instagram.com/youoldmaid/ Subscribe to MongoDB ➡️ https://bit.ly/3bpg1Z1...

Dec 06, 2022
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Flexible Querying with Atlas Search

Atlas Search provides the ability to execute a performant query that spans multiple indexes in your data store. It's very rare, however, that MongoDB’s query planner selects a plan that involves multiple indexes. We’ll walk through a scenario in which this becomes a requirement. ...

Oct 04, 2022
Ethan Steininger