#SQLite extension

An adaptable and compact SQLite extension offering efficient vector storage and query capabilities across major platforms like Linux, MacOS, Windows, browsers via WASM, and Raspberry Pi without dependencies. It supports float, int8, and binary vectors, ideal for resource-constrained environments. Future updates may include changes, but developers can easily install packages for languages like Python, Node.js, Ruby, Go, and Rust. Sponsored by Mozilla, Fly.io, Turso, and SQLite Cloud, it empowers powerful AI applications locally.

Facilitate vector similarity searches within SQLite using this extension, suitable for semantic search engines, recommendation systems, and Q&A tools. Compatible with any vector data, it provides straightforward vector insertion and query options. While not actively developed, it supports custom Faiss indices for efficient operations with extensive databases, beneficial for developers utilizing SQLite.