Why your dataframe library needs to understand vector embeddings

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • quokka

    Making data lake work for time series (by marsupialtail)

  • hyperDB

    A hyper-fast local vector database for use with LLM Agents. Now accepting SAFEs at $135M cap.

  • Open for rebuttals from vector database vendors, especially this one: https://github.com/jdagdelen/hyperDB

  • 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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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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