A SQLite extension for efficient vector similarity search based on FAISS, enabling semantic search, recommendations, and question-answering directly within SQLite databases.
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sqlite-vss (SQLite Vector Similarity Search) is a SQLite extension that brings vector search capabilities to SQLite databases using the FAISS library. It enables building semantic search engines, recommendation systems, and question-answering tools directly within SQLite.
The development effort has shifted to sqlite-vec, which is easier to install and use. sqlite-vec is written in pure C with no dependencies and runs anywhere SQLite runs (Linux, macOS, Windows, browsers with WASM, Raspberry Pi).
vss_search functionRequires the vector0 extension to be loaded before vss0.