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patricktrainer/duckdb-embedding-search

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Fast similarity search using DuckDB

6 mentions on Hacker News by 1 person: 0 stories, 6 comments · first 2024-05-02 · latest 2026-03-19

Mentions per year 6 mentions · busiest year 2024 (5)
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  1. I did this but used duckdb as the vector store. Works really well, quite fast too. https://github.com/patricktrainer/duckdb-embedding-search
    comment by pjot · 2026-03-19 · in Show HN: Hacker News archive (47M+ items, 11.6GB) as Parquet, updated every 5m
  2. …For example I’m using duckDB as a vector store for similarity search and RAG. It works really well. https://github.com/patricktrainer/duckdb-embedding-search
    comment by pjot · 2024-11-24 · in 32k context length text embedding models
  3. …something similar, but used duckDB as the vector store (and query engine)! It’s impressively fast https://github.com/patricktrainer/duckdb-embedding-search
    comment by pjot · 2024-10-29 · in Vector databases are the wrong abstraction
  4. I’ve done something similar, but using duckDB as the backend. https://github.com/patricktrainer/duckdb-embedding-search
    comment by pjot · 2024-08-02 · in Sqlite-vec: Work-in-progress vector search SQLite extension that runs anywhere
  5. …duckDB as the backend/vector store. You can use embeddings from wherever. My demo uses OpenAI. https://github.com/patricktrainer/duckdb-embedding-search
    comment by pjot · 2024-07-21 · in Txtai: Open-source vector search and RAG for minimalists
  6. I’ve done something very similar! But with duckDB as a vector store/engine. https://github.com/patricktrainer/duckdb-embedding-search
    comment by pjot · 2024-05-02 · in Show HN: Hacker Search – A semantic search engine for Hacker News