Chroma is an open-source embedding database designed for developers building Python or JavaScript LLM (Large Language Model) applications that require persistent memory. It enables fast and flexible vector search, full-text search, and metadata filtering for creating and managing collections of documents, making it ideal for integrating AI memory and retrieval capabilities into LLM-powered apps. Chroma offers easy deployment with in-memory, file-based, self-hosted HTTP, or managed cloud options, and supports industry-standard embedding functions like OpenAI, Cohere, Jina, and more.
Visit Chroma's official website for product details and getting started.
Comprehensive guides and API references for using Chroma effectively.