Telegram AI Chatbot with RAG using OpenAI & PGVector

Telegram bot that answers queries using private documents via OpenAI and PGVector RAG for precise, context-aware responses in customer support.

This n8n workflow creates a sophisticated Telegram AI chatbot enhanced with Retrieval-Augmented Generation (RAG) using OpenAI and PGVector in PostgreSQL. It ingests documents from sources like Google Drive, chunks and embeds them into a vector database for semantic search, enabling the bot to provide accurate answers grounded in your private data, reducing hallucinations common in generic AI. Key benefits include personalized responses for support, onboarding, and knowledge access; seamless int
Platform
n8n
Category
Customer Support
Price
$24.99
Creator
Kaito Rahman

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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