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    nano-graphrag

    nano-graphrag

    A simple, easy-to-hack GraphRAG implementation

    nano-graphrag is a lightweight implementation of the GraphRAG approach designed to simplify experimentation with graph-based retrieval-augmented generation systems. GraphRAG expands traditional RAG pipelines by constructing knowledge graphs from documents and using relationships between entities to improve the quality and reasoning of AI responses.
    Downloads: 0 This Week
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    Nano-vLLM

    Nano-vLLM

    A lightweight vLLM implementation built from scratch

    ...Despite its compact design, nano-vllm incorporates advanced optimization techniques such as prefix caching, tensor parallelism, and CUDA graph execution to achieve high performance during model inference. The engine is intended primarily for educational use, experimentation, and lightweight deployments where a full production-grade inference stack may be unnecessary.
    Downloads: 0 This Week
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