{"library":"sqlite-vec","type":"library","category":null,"description":"sqlite-vec is a SQLite extension for vector search, written in pure C with no dependencies. It enables storing, manipulating, and querying vector data directly within SQLite files, making it ideal for edge deployments, serverless functions, and local tooling. It supports various vector types (float32, int8, bit) and distance metrics (L1, L2, cosine, Hamming), offering fast brute-force search and SIMD acceleration. The project is pre-v1, so breaking changes are expected. It supports Python, Node.js, Ruby, Rust, and Go bindings.","language":"python","status":"active","version":"0.1.9","tags":["sqlite","vector database","embeddings","vector search","AI","local-first","extension"],"install":[{"cmd":"pip install sqlite-vec","imports":["from sqlite_vec import load","from sqlite_vec import serialize_float32"]}],"homepage":"https://TODO.com","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/sqlite-vec/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":1.5,"avg_import_s":0.02,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/sqlite-vec/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}