Create an AI Knowledge Assistant with RAG and RLHF via Telegram - n8n Workflow | Neura Market | Neura Market

    Create an AI Knowledge Assistant with RAG and RLHF via Telegram

    This workflow automates the creation of an AI-powered knowledge assistant using retrieval-augmented generation (RAG) and reinforcement learning from human feedback (RLHF) through Telegram. It streamlines knowledge management by importing and indexing documentation into MongoDB for efficient semantic search and continuously improves AI responses with user feedback.

    The workflow consists of two main components: document ingestion and indexing, and a Telegram chat interface with RLHF. The first component imports product documentation from Google Docs, splits it into manageable chunks, and embeds these chunks using OpenAI embeddings. These embeddings are stored in MongoDB Atlas to enable semantic search. The second component listens for user messages via a Telegram bot, retrieves relevant documentation using vector similarity search, generates responses with
    Platform
    n8n
    Category
    1a0ecd0b-8f44-4e88-aa57-bcc89cf161e1
    Price
    Free
    Rating
    5 out of 5 (389 reviews)
    Downloads
    67
    Creator
    Layla Ibrahim
    • set
    • code
    • telegram
    • googleDocs
    • stickyNote
    • manualTrigger
    • agent
    • telegramTrigger
    • lmChatOpenAi
    • embeddingsOpenAi
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