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The MongoDB - Atlas Vector Search Snap enables you to efficiently perform advanced vector-based queries. This Snap is useful for Similarity searches, Approximate Nearest Neighbor (ANN) queries, and Range queries on vector data stored in MongoDB Atlas. Learn more about how to run vector search queries.
You can run MongoDB Atlas Vector Search Snap in Groundplex or Cloudplex via the MongoDB Atlas service.
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Snap Type
The MongoDB - Atlas Vector Search Snap is a Read-type Snap.
Prerequisites
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Create a vector search index in MongoDB Atlas.
Configure MongoDB Atlas cluster and allow your IP in network security settings.
Support for Ultra Pipelines
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The listSearchIndexes command can only be run on a deployment hosted on MongoDB Atlas, and requires an Atlas cluster tier of at least M10. Hence, for the suggestions list to populate in the Search index field, you must deploy the MongoDB Atlas cluster with at least an M10 tier. However, you can add the index manually, even if the Snap displays an error when populating the suggestions.
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Related links:
https://www.mongodb.com/docs/atlas/
https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-overview/
https://www.mongodb.com/docs/atlas/atlas-vector-search/tutorials/vector-search-quick-start/