{"library":"llama-index-vector-stores-chroma","type":"library","category":null,"description":"The `llama-index-vector-stores-chroma` library provides an integration between LlamaIndex and ChromaDB, an open-source vector database. It enables users to store and query document embeddings within a ChromaDB collection, supporting various modes like in-memory, persistent, and client-server setups. This integration is actively maintained, with the current version being `0.5.5`, and typically follows the continuous release cadence of the broader LlamaIndex ecosystem for new features and bug fixes.","language":"python","status":"active","version":"0.5.5","tags":["llama-index","chromadb","vector-store","rag","embeddings","llm-integration"],"last_verified":"Sun May 24","install":[{"cmd":"pip install llama-index-vector-stores-chroma chromadb","imports":["from llama_index.vector_stores.chroma import ChromaVectorStore"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/llama-index-vector-stores-chroma/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":33.1,"avg_import_s":6.92,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/llama-index-vector-stores-chroma/compatibility"}}