Showing 5 open source projects for "ai"

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  • 1
    Forge Code

    Forge Code

    AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek

    Forge is a modern, open-source tool that brings AI-powered code assistance directly into your terminal workflow, effectively turning your shell into a “pair programmer”, without ever leaving your development environment. Written in Rust (with a command-line interface), Forge integrates with your existing shell (bash, zsh, fish, etc.) or IDE-agnostic workflows, allowing you to interact with your codebase, command-line tools, and version control as usual, but with the added support of large language models (LLMs) to help with code generation, refactoring, bug fixing, code review, and even design advice. ...
    Downloads: 6 This Week
    Last Update:
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  • 2
    SemTools

    SemTools

    Semantic search and document parsing tools for the command line

    ...The toolkit is designed to work well with modern AI pipelines, particularly those involving large language models that require structured knowledge retrieval.
    Downloads: 1 This Week
    Last Update:
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  • 3
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    ...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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  • 4
    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: 0 This Week
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  • 5
    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 models. These vectors are commonly generated by neural networks to represent images, text, audio, or other data types in a mathematical embedding space. ...
    Downloads: 0 This Week
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