Chroma

What is Chroma?

Chroma is an open-source search and retrieval database designed specifically for AI applications. It enables developers to build Python and JavaScript applications powered by large language models (LLMs) that can search and retrieve information from custom data sources. The platform functions as a vector database, storing and indexing data in a format that allows AI models to perform semantic search and retrieval operations. This capability is essential for LLM applications that need to access external knowledge bases, documents, or datasets beyond their training data. Chroma is built for developers who want to incorporate retrieval-augmented generation (RAG) capabilities into their AI applications without managing complex infrastructure. The database handles the technical challenges of embedding storage, similarity search, and data retrieval at scale. As an open-source project, Chroma provides full transparency and allows developers to self-host or modify the codebase according to their needs. The project is actively maintained on GitHub and has an engaged community on Discord for support and collaboration. The tool is particularly suited for teams building AI applications that require grounded, up-to-date information retrieval capabilities, such as question-answering systems, document analysis tools, and AI assistants with custom knowledge integration.