Showing 3 open source projects for "data integration"

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  • 1
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    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...
    Downloads: 2 This Week
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  • 2
    SemTools

    SemTools

    Semantic search and document parsing tools for the command line

    SemTools is an open-source command-line toolkit designed for document parsing, semantic indexing, and semantic search workflows. The project focuses on enabling developers and AI agents to process large document collections and extract meaningful semantic representations that can be searched efficiently. Built with Rust for performance and reliability, the toolchain provides fast processing of text and structured documents while maintaining low system overhead. SemTools can parse documents,...
    Downloads: 1 This Week
    Last Update:
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  • 3
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning...
    Downloads: 0 This Week
    Last Update:
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