Showing 3 open source projects for "high"

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  • 1
    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: 3 This Week
    Last Update:
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  • 2
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    ...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.
    Downloads: 1 This Week
    Last Update:
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  • 3
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    ...The library is written in Rust and emphasizes performance, safety, and efficient memory management, making it suitable for production-grade applications requiring low latency and high throughput.
    Downloads: 0 This Week
    Last Update:
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