Pinecone raises $100M Series B

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

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  • pgvector

    Open-source vector similarity search for Postgres

  • There is certainly a wide variety of problems today for which pgvector is unsuitable due to performance limitations... but fear not! This is an area that is getting significant focus right now.

    A marqo.ai dev is currently working on adding HNSW-IVF and HNSW support to PGVector https://news.ycombinator.com/item?id=35551684 and the maintainer has recently noted that they are actively working on an IVFPQ/ScaNN implementation https://github.com/pgvector/pgvector/issues/93

    The pgAnn creator actually asked about performance a month ago here https://github.com/pgvector/pgvector/issues/58

    Expect to see performance improve dramatically later this year.

  • pinecone

    Peer-to-peer overlay routing for the Matrix ecosystem

  • Thought this was about https://github.com/matrix-org/pinecone

  • 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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  • DiskANN

    Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

  • Spot on. There is zero moat and the self-hosted alternatives are rapidly improving (if not better) than Pinecone. There are good open-source contributions coming from bigcorp beyond Meta too, e.g., DiskANN (https://github.com/microsoft/DiskANN).

  • pgANN

    Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.

  • Why do you use pgvector instead of pgANN? My understanding is pgANN is built with FAISS. When I compared pgvector with FAISS, pgvector was 3-5x slower.

    https://github.com/netrasys/pgANN

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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