💬 Telegram AI chatbot with document-based answers using OpenAI and PGVector RAG
⚡ 1,011 views · 💬 Support Chatbots
Description
🤖 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.
📖 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
👤 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
⚙️ Setup Instructions
You’ll find step-by-step instructions inside the workflow.
Quick Setup Overview:
- Import the workflow into n8n (cloud or self-hosted)
- Add your Telegram Bot credentials
- Connect your PostgreSQL DB (Neon, Supabase, etc.)
- Set up document ingestion from Google Drive
- Activate the workflow and start chatting
🧩 Extensibility
This workflow is modular and ready to expand. Build powerful assistants by connecting additional workflows:
- Vectorization modules for Notion, Airtable, Dropbox, and others
- Any vector DB: Neon.tech, Supabase, or self-hosted PGVector
- ✍🏻 Telegram User Registration Module →
- 💵 Telegram Payment, Invoicing & Refund Module →
🧠 More Smart AI Agents
Explore more AI workflows and agents on my Gumroad →
- 🌐 Agent: Find in the Internet — fetches live info from the web
- 📁 Agent: Search Internal Docs — queries Notion, Google Drive, etc.
- 📦 Agent: Check Order Status — reads status from Airtable or CRM
- 💰 Agent: Calculate Cost or Quote — builds pricing logic from inputs
📨 Submit your idea here for a custom AI agent →
🔗 Nodes Used
Postgres, Google Drive, Google Drive Trigger, Execute Workflow Trigger, AI Agent, Basic LLM Chain
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File