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Chroma
The open-source AI application database with built-in embeddings and vector search capabilities

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

  • 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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