Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"

Showing 4 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"

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  • 1
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    ...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: 5 This Week
    Last Update:
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  • 2
    VectorChord

    VectorChord

    Scalable, fast, and disk-friendly vector search in Postgres

    VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search.
    Downloads: 20 This Week
    Last Update:
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  • 3
    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: 12 This Week
    Last Update:
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  • 4
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    ...Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. These vectors are commonly generated by neural networks to represent images, text, audio, or other data types in a mathematical embedding space. 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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