{"library":"chromadb","type":"library","category":null,"description":"Open-source embedded vector database for AI applications. Runs in-process (EphemeralClient, PersistentClient) or client-server mode (HttpClient). Handles embedding storage, metadata filtering, and similarity search. Supports pluggable embedding functions. Core backend rewritten in Rust in 1.x; also ships a lightweight HTTP-only client as the separate chromadb-client package.","language":"python","status":"active","version":"1.5.5","tags":["chromadb","vector-database","embeddings","rag","similarity-search","persistent","in-memory"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install chromadb","imports":["import chromadb\nclient = chromadb.EphemeralClient()  # in-memory\nclient = chromadb.PersistentClient(path=\"/db\")  # disk\nclient = chromadb.HttpClient(host=\"localhost\", port=8000)  # server"]},{"cmd":"pip install chromadb-client","imports":[]}],"homepage":"https://trychroma.com","github":"https://github.com/chroma-core/chroma","docs":null,"changelog":null,"pypi":"https://pypi.org/project/chromadb/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":75,"avg_install_s":21.6,"avg_import_s":3.27,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/chromadb/compatibility"}}