Chroma

Chroma is an open-source embedding database for AI applications, enabling efficient search, storage, and retrieval for intelligent RAG systems.

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Introduction

Chroma is an open-source vector database designed for AI applications, supporting efficient embedding storage and semantic search. It is widely used in intelligent Q&A, knowledge bases, and RAG systems.

Key Features

Simple and user-friendly API, Python/JS clients
Supports multiple embedding models and custom embeddings
High-performance search and filtering for large-scale data
Fully open-source, Apache 2.0 licensed

Use Cases

Building intelligent Q&A and knowledge base systems
Powering RAG (Retrieval-Augmented Generation) applications
Multimodal search for documents, images, code
Integration with LangChain, LlamaIndex, and other frameworks

Technical Highlights

Multi-language implementation: Rust, Python, TypeScript
Supports local and cloud deployment
Rich API and extensibility
Active community and continuous updates