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    RAG Frameworks

    Frameworks for retrieval augmented generation

    5 tools listed

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    Subcategories:

    LLM Orchestration (1)Data Framework (1)Search Framework (1)Prompt Programming (1)Enterprise RAG (1)

    Showing 5 of 5 tools

    LangChain logo

    LangChain

    LLM Orchestration

    Framework for developing applications powered by language models, providing tools for chains, agents, retrieval, and memory management.

    open-source
    open source
    text

    Key features:

    Chain compositionAgent frameworkRetrieval pipelines+2 more
    LlamaIndex logo

    LlamaIndex

    Data Framework

    Data framework for connecting custom data sources to large language models with indexing, retrieval, and query engine capabilities.

    open-source
    open source
    text

    Key features:

    Data connectorsIndex typesQuery engines+2 more
    Haystack logo

    Haystack

    Search Framework

    Open-source framework by deepset for building production-ready LLM applications, RAG pipelines, and semantic search systems.

    open-source
    open source
    text

    Key features:

    Pipeline componentsDocument storesRetriever-reader+2 more
    DSPy logo

    DSPy

    Prompt Programming

    Framework by Stanford NLP for programming with foundation models using declarative modules, optimizers, and assertions instead of prompt engineering.

    open-source
    open source
    text

    Key features:

    Declarative modulesAutomatic optimizationAssertions+2 more
    Vectara logo

    Vectara

    Enterprise RAG

    Trusted AI platform for enterprise RAG providing semantic search, retrieval, and grounded generation with built-in hallucination detection.

    freemium
    text

    Key features:

    Semantic searchGrounded generationHallucination detection+2 more

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