Alternatives to Pinecone? (Vector databases) [D]

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

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  • Nuclia DB

    NucliaDB, The AI Search database for RAG

  • NucliaDB https://github.com/nuclia/nucliadb

  • paper-qa

    LLM Chain for answering questions from documents with citations

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • qdrant

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

  • I would describe Qdrant as an beautifully simple vector database. Definitely worth a try, it has an forever-free tier as well.

  • langchain

    Discontinued ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain] (by hwchase17)

  • There’s a pretty good list in Langchain, including basic implementation code: https://github.com/hwchase17/langchain/tree/master/langchain/vectorstores

  • txtai

    💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  • Take a look at txtai: https://github.com/neuml/txtai

  • google-research

    Google Research

  • I'm curious if anyone has discovered a vector database that is compatible with the ScaNN method? (https://github.com/google-research/google-research/tree/master/scann)

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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