Chroma

Chroma is an open-source vector database designed for building AI applications that require efficient storage, indexing, and retrieval of high-dimensional embeddings. Built with Python and JavaScript APIs, Chroma provides a simple interface for storing documents alongside their vector embeddings, enabling semantic search and similarity matching capabilities. The database supports multiple embedding models including OpenAI embeddings, Sentence Transformers, and custom embedding functions. Chroma features automatic embedding generation, metadata filtering, and various distance metrics for similarity computation. It offers both in-memory and persistent storage options, making it suitable for development, prototyping, and production environments. The platform integrates seamlessly with popular AI frameworks and supports retrieval-augmented generation (RAG) workflows, conversational AI, and recommendation systems. Chroma’s lightweight architecture and developer-friendly API make it accessible for teams building AI applications without extensive database management expertise, while providing scalability for enterprise-level deployments through its distributed architecture options.