CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. The tool is suitable for developers working on personal knowledge bases, AI search interfaces, or private LLM applications.

Features

  • Local-first semantic search engine
  • Supports OpenAI, Hugging Face, and custom embeddings
  • Easily index documents, notes, or files
  • Fast nearest neighbor retrieval
  • API for embedding and querying indexed data
  • CLI and Python SDK for integration into workflows
  • Privacy-friendly with no cloud dependency
  • Modular architecture for extensibility

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Rust

Related Categories

Rust Stream Processing Tool

Registered

2025-04-08