Showing 2 open source projects for "rag"

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  • 1
    Ax

    Ax

    Build LLM powered Agents and "Agentic workflows"

    Build intelligent agents quickly — inspired by the power of "Agentic workflows" and the Stanford DSPy paper. Seamlessly integrates with multiple LLMs and VectorDBs to build RAG pipelines or collaborative agents that can solve complex problems. Advanced features streaming validation, multi-modal DSPy, etc. We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. ...
    Downloads: 1 This Week
    Last Update:
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  • 2
    AnythingLLM

    AnythingLLM

    The all-in-one Desktop & Docker AI application with full RAG and AI

    A full-stack application that enables you to turn any document, resource, or piece of content into a context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions. AnythingLLM is a full-stack application where you can use commercial off-the-shelf LLMs or popular open-source LLMs and vectorDB solutions to build a private ChatGPT with no...
    Downloads: 105 This Week
    Last Update:
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