
Chroma
描述
Open-source embedded vector database providing simple storage and retrieval for AI applications
详细介绍
Chroma is an open-source embedded vector database designed for AI applications, providing simple yet powerful vector storage and retrieval functionality. Its design philosophy is to simplify the development process, allowing developers to focus on building applications rather than managing complex infrastructure.
A notable feature of Chroma is its simple API and lightweight design. It can run directly embedded in applications without requiring additional servers or infrastructure, making it particularly suitable for prototype development and small projects. At the same time, Chroma also supports client-server mode and can scale as needed.
In RAG applications, Chroma provides a simple way to store document embeddings and metadata, and supports similarity-based retrieval and filtering. It integrates well with mainstream RAG frameworks (such as LangChain, LlamaIndex), enabling developers to quickly build and deploy RAG systems.
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