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    Train ML Models With SQL You Already Know

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    UltraRAG

    UltraRAG

    Less Code, Lower Barrier, Faster Deployment

    UltraRAG 2.0 is a low-code, MCP-enabled RAG framework that aims to lower the barrier to building complex retrieval pipelines for research and production. It provides end-to-end recipes—from encoding and indexing corpora to deploying retrievers and LLMs—so users can reproduce baselines and iterate rapidly. The toolkit comes with built-in support for popular RAG datasets, large corpora, and canonical baselines, plus documentation that walks from “quick start” to debugging and case analysis. It...
    Downloads: 2 This Week
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