Open source vector databases?

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

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  • marqo

    Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

  • Try Marqo https://github.com/marqo-ai/marqo. Why? Very simple to use, comes with embedding and inference management, supports multi-modal (see example here for adding that to chatGPT), handles chunking of text/images and much more.Examples:Q&A over data, NPC interactionshttps://github.com/marqo-ai/marqo/blob/mainline/examples/GPT-examples/article/article.mdTranscribing speechhttps://github.com/marqo-ai/marqo/blob/mainline/examples/SpeechProcessing/article/article.md

  • qdrant

    Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  • There are plenty of options, but I'd suggest Qdrant on Docker: https://qdrant.tech/

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    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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