Chroma
The AI-native open-source embedding database.
Overview
Chroma is an open-source embedding database focused on simplicity and developer experience. It is designed to be the easiest way to store and search embeddings for building applications with large language models (LLMs).
✨ Key Features
- Open-source
- In-memory and local storage options
- Simple Python and JavaScript/TypeScript clients
- Integrations with LangChain and LlamaIndex
- Focus on developer experience
🎯 Key Differentiators
- Simplicity and ease of use
- Strong focus on the developer experience for building LLM apps
- Tight integrations with LangChain and LlamaIndex
Unique Value: Chroma provides the simplest and fastest way for developers to get started with storing and searching embeddings for their LLM applications.
🎯 Use Cases (4)
✅ Best For
- Rapid prototyping of LLM-powered applications
- Adding semantic search capabilities to existing applications
- Building personal knowledge management tools
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Large-scale, production deployments with high availability and low-latency requirements.
🏆 Alternatives
Compared to more complex, production-focused vector databases, Chroma offers a much lower barrier to entry and a more streamlined developer experience for building initial prototypes and smaller applications.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Open-source and free to use.
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