Chroma is an open-source embedding database designed for building AI applications with LLMs, providing the simplest way to store, search, and retrieve embeddings for RAG and semantic search.
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Free and open-source
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About Chroma
Chroma is an open-source embedding database that provides the simplest possible interface for storing and retrieving vector embeddings. Designed as the database layer for LLM applications, Chroma makes it easy to build retrieval-augmented generation (RAG) systems with just a few lines of code.
The platform's developer-friendly API supports storing documents with their embeddings and metadata, then querying by semantic similarity. Chroma handles embedding generation, storage, and retrieval in a unified interface that requires minimal configuration.
Popular with developers prototyping AI applications and increasingly used in production, Chroma provides both an in-memory mode for development and a client-server mode for deployment. The platform integrates with LangChain, LlamaIndex, and other popular AI frameworks.
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