Chroma
Open-source AI application database, making it easy to build LLM apps with memory and knowledge
About Chroma
Chroma builds open-source search infrastructure for artificial intelligence applications. Developers use Chroma to store, index, and retrieve information that can be supplied to language models, making it useful for retrieval-augmented generation, semantic search, and AI systems that need access to private or frequently updated knowledge. The Chroma database supports vector similarity search, full-text search, metadata filtering, and collections for organizing application data. Developers can run the open-source software locally or use Chroma Cloud, a managed serverless database service designed to scale search workloads without requiring teams to provision and operate their own search infrastructure. Chroma is built for AI developers creating chatbots, research assistants, document search, recommendation features, and other data-grounded applications. Its Python, TypeScript, and Rust interfaces and open-source foundation make it a practical vector database and AI search platform for prototypes as well as production retrieval pipelines.
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