Chroma

Chroma is an open-source embedding database designed for AI applications. It’s the AI-native way to store embeddings and their metadata, making it easy to build LLM applications with semantic search. Key features include simple Python and JavaScript APIs, efficient storage and querying of embeddings, metadata filtering and search, integration with LangChain and LlamaIndex, support for various embedding models, in-memory or persistent storage options, similarity search with multiple distance metrics, document storage with embeddings, collections for organizing data, and both local and client-server deployment. Chroma is used for building RAG applications, semantic search engines, recommendation systems, and other AI applications requiring efficient vector storage and retrieval.