Build an AI Documentation Expert Bot Using RAG, Gemini, and Supabase - n8n Workflow | Neura Market | Neura Market

    Build an AI Documentation Expert Bot Using RAG, Gemini, and Supabase

    Create an AI chatbot that specializes in the official n8n documentation using a Retrieval-Augmented Generation (RAG) pipeline. This workflow scrapes, processes, and stores documentation in a Supabase vector store, allowing the AI to provide accurate, context-based answers.

    This workflow is divided into two main parts: indexing and chat interaction. In the indexing phase, the workflow scrapes the n8n documentation, processes it into manageable chunks, and stores these chunks in a Supabase vector store as embeddings. During the chat interaction phase, the AI uses these embeddings to retrieve relevant information and answer user queries accurately, ensuring responses are grounded in the documentation.
    Platform
    n8n
    Category
    1a0ecd0b-8f44-4e88-aa57-bcc89cf161e1
    Price
    Free
    Rating
    5 out of 5 (111 reviews)
    Downloads
    51
    Creator
    Aisha Okafor
    • set
    • html
    • filter
    • splitOut
    • supabase
    • stickyNote
    • httpRequest
    • manualTrigger
    • splitInBatches
    • agent
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