Chroma Embedding Database is an innovative open-source tool designed to enhance Large Language Models (LLMs) by providing a pluggable system for knowledge, facts, and skills. It offers a Python client SDK, JavaScript/TypeScript client SDK, and a server application, ensuring simplicity and developer productivity. Chroma supports in-memory and client/server modes for Python and client/server mode for JavaScript, communicating with a Python backend. It’s licensed under Apache 2.0 and encourages community contributions for additional language support.
Chroma is an open-source project coordinated by a dedicated team based in The Mission, San Francisco, with a commitment to democratizing robust AI systems. Co-founded by Jeff Huber and Anton Troynikov, Chroma aims to be a ubiquitous open-source standard, balancing open-source contributions with a viable commercial product. The company has raised an $18M seed round led by Astasia Myers and includes notable investors like Naval Ravikant and Guillermo Rauch. They are currently hiring software engineers and applied research scientists, emphasizing their open roles and the importance of financial sustainability for the project’s health and community growth.