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Telegram AI Chatbot with Document-Based Answers using OpenAI and PGVector RAG

by Victor Gold•Updated: Last update 4 months ago•Source: n8n.io
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šŸ¤– AI Q&A Chatbot Workflow – Build Your Own AI Agent Trained on Private Documents

This powerful AI automation add-on upgrades your Telegram Bot Starter Template by integrating a fully functional AI chatbot and a context-aware AI agent that answers user questions using your internal documents.

Unlike generic bots, this chatbot uses your own data to respond with deeply personalized, context-relevant information — perfect for support , onboarding , internal knowledge access , and client-facing interactions.

It connects to any PostgreSQL database — including Neon.tech, Supabase, or a self-hosted Postgres setup — allowing you to build custom AI-powered FAQ assistants , internal support bots , or knowledge-based customer service tools.


🧠 Why It Works: Contextual Retrieval

The secret is Contextual Retrieval — a powerful technique where your documents are stored in a way that preserves meaning and context. This allows the AI to fetch highly relevant, source-backed responses , eliminating hallucinations and guesswork.

Data is embedded, chunked, and saved in a vector database (Postgres + PGVector), enabling smart semantic search tailored to your needs.

šŸ“– Learn more about this approach in this article by Anthropic →


✨ Key Features

  • Chat with your internal documents : Uses your content to answer questions with precision
  • Built-in document vectorization : Pre-configured Google Drive ingestion flow (Notion, Airtable, Dropbox available separately)
  • Contextual memory : Past chats stored in PostgreSQL for personalized conversations
  • Plug-and-play architecture : Connect Supabase, OpenAI, custom APIs via n8n’s interface

šŸ‘¤ Who Can Use This Workflow?

  • Entrepreneurs & startups building branded AI chatbots without code
  • Customer support teams automating answers using documentation
  • Ops teams creating internal FAQ bots for onboarding and training
  • No-code developers using n8n to build Telegram bots with AI features

āš™ļø Setup Instructions

You'll find step-by-step instructions inside the workflow.

Quick Setup Overview:

  1. Import the workflow into n8n (cloud or self-hosted)
  2. Add your Telegram Bot credentials
  3. Connect your PostgreSQL DB (Neon, Supabase, etc.)
  4. Set up document ingestion from Google Drive
  5. Activate the workflow and start chatting

🧩 Extensibility

This workflow is modular and ready to expand. Build powerful assistants by connecting additional workflows:


🧠 More Smart AI Agents

Explore more AI workflows and agents on my Gumroad →

  • 🌐 Agent: Find in the Internet — fetches live info from the web
  • šŸ“ Agent: Search Internal Docs — queries Notion, Google Drive, etc.
  • šŸ“¦ Agent: Check Order Status — reads status from Airtable or CRM
  • šŸ’° Agent: Calculate Cost or Quote — builds pricing logic from inputs

šŸ“Ø Submit your idea here for a custom AI agent →