n8n Telegram AI Agent Chatbot with RAG, Contextual Retrieval v.2.0

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 AI chatbot uses your own data to respond with deeply personalized, context-relevant information, making it ideal for support, onboarding, internal knowledge access, and client-facing interactions.

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

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 (like Postgres + PGVector), enabling smart semantic search tailored to your needs.

📖 Learn more about why this approach is so effective in this article by Anthropic →

Key Features

• Chat with your internal documents: The AI chatbot uses your own content to answer user questions with precision and relevance
• Built-in document vectorization: Comes with a pre-configured Google Drive ingestion flow to feed your knowledge base (Notion, Airtable, and Dropbox workflows available separately)
• Contextual memory: Stores past interactions in PostgreSQL for more natural, personalized responses over time
• Plug-and-play architecture: Easily connect with existing tools like Supabase, OpenAI, and your own APIs via n8n’s drag-and-drop interface

Who Can Use This Workflow?

• Entrepreneurs and startups wanting to build smart, branded AI chatbots without writing code
• Customer support teams aiming to automate answers using internal documentation
• Internal ops teams looking to create custom knowledge assistants for onboarding and FAQs
• No-code developers using n8n to build powerful, extensible Telegram bots with AI capabilities

Setup Instructions:

You’ll find detailed step-by-step setup instructions inside the workflow, including credential setup, vector database connection, and Google Drive ingestion.

Here’s a quick overview of the main steps:

1. Import the workflow into your n8n instance (cloud or self-hosted)
2. Add your Telegram Bot credentials in the trigger node
3. Connect your PostgreSQL database (e.g., Neon, Supabase) for vector search and chat memory
4. Set up document ingestion from Google Drive (or connect Notion, Airtable, Dropbox with optional add-ons)
5. Activate the workflow and start chatting with your AI assistant via Telegram

Extensibility:

This AI chatbot workflow is designed to be fully modular and expandable. You can easily connect it with other workflows to enhance its functionality — turning it into a robust customer assistant, onboarding bot, or internal support agent.

• Vectorization modules for other sources – Notion, Airtable, Dropbox, and more
• Use any PostgreSQL-compatible vector database – including Neon.tech, Supabase, self-hosted PGVector
• ✍🏻Use the Telegram user registration workflow →
• 💵Use the Telegram Payment, Invoicing and Refund Workflow for Stars →

Looking for more smart AI agents?
Explore a growing collection of ready-to-use n8n AI agents on my Gumroad page — including:

• 🌐 Agent: Find in the Internet — fetches live info for time-sensitive queries
• 📁 Agent: Search Internal Docs — retrieves answers from Notion, Google Drive, and other sources
• 📦 Agent: Check Order Status — tracks orders via Airtable, Google Sheets, or your CRM
• 💰 Agent: Calculate Cost or Quote — builds dynamic pricing estimates based on logic you define

🧠 Want something custom? Submit your idea here →