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Create an Atlas Vector Search Index — MongoDB Atlas

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Atlas Search index is a data structure that categorizes data in an easily searchable format. It is a mapping between terms and the documents that contain those terms. Atlas Search indexes enable faster retrieval of documents using certain identifiers. You must configure an Atlas Search index to query data in your Atlas cluster using Atlas Search. You can create an Atlas Search index on a single field or on multiple fields. We recommend that you index the fields that you regularly use to sort or filter your data in order to quickly retrieve the documents that contain the relevant data at query-time. You can create an Atlas Vector Search index for all collections that contain vector embeddings less than and equal to 2048 dimensions in width for any kind of data along with other data on your Atlas cluster through the Atlas UI and Atlas Administration API. To create an Atlas Vector Search index, you must have an Atlas cluster with the following prerequisites: MongoDB version 6.0.11, 7.0.2,

How to Index Fields for Vector Search - MongoDB Vector Search - MongoDB Docs For AI agents: a documentation index is available at https://www.mongodb.com/docs/llms.txt — markdown versions of all pages are available by appending .md to any URL path. Docs Menu Ask MongoDB AI Docs Home / Development / Vector Search Docs Home / Development / Vector Search Docs Home / Development / Vector Search How to Index Fields for Vector Search Copy page Deployment Type Select Embeddings Select Interface Select Considerations Syntax MongoDB Vector Search Index Fields Supported Clients Create a MongoDB Vector S

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