What is Chroma?
Chroma serves as a comprehensive database solution specifically engineered for AI applications. It combines essential features including embeddings, vector search, document storage, and full-text search capabilities into a single, unified platform.
The platform operates as a batteries-included solution, offering seamless integration of metadata filtering and multi-modal functionality. Its design philosophy centers on making retrieval operations straightforward and efficient, providing developers with a robust foundation for building AI-powered applications.
Features
- Vector Search: Built-in support for efficient vector-based data retrieval
- Document Storage: Integrated system for managing and storing documents
- Full-text Search: Comprehensive text search capabilities
- Metadata Filtering: Advanced filtering options using metadata
- Multi-modal Support: Ability to handle different types of data formats
- Cloud Deployment: Options for cloud-based implementation
Use Cases
- AI Application Development
- Document Management Systems
- Vector Search Implementation
- Multi-modal Data Retrieval
- Machine Learning Data Storage
FAQs
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How can I get support for Chroma?
You can post a Github issue or join the Chroma Discord server for support. -
Does Chroma have a fully-managed cloud version?
Yes, Chroma Cloud is in early access and interested users can join the waitlist. -
What does Chroma cost?
Chroma is free and open-source under the Apache 2.0 License.
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