Vector Databases 101

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • faiss

    A library for efficient similarity search and clustering of dense vectors.

  • If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw.

  • annoy

    Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  • If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • hnswlib

    Header-only C++/python library for fast approximate nearest neighbors

  • If you want to go larger you could still use some simple setup in conjunction with faiss, annoy or hnsw.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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