The Vector Database Index: Who, what, why now, & how

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

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  • google-research

    Google Research

  • https://github.com/google-research/google-research/tree/mast...

    We use ScaNN for a large scale/performant neural search. Otherwise this all feels bloated.

  • txtai

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

  • https://github.com/neuml/txtai

    txtai can build vector indexes with Faiss/HNSW/Annoy and supports running SQL statements against them. External vector databases can also be plugged in.

  • 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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  • ann-benchmarks

    Benchmarks of approximate nearest neighbor libraries in Python

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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