Telegram RAG Chatbot with OpenAI Embeddings & Google Drive Backup
Builds a retrieval-augmented generation chatbot on Telegram that queries uploaded PDFs using OpenAI, with automatic Google Drive backups for documents.
This n8n workflow creates an advanced Retrieval-Augmented Generation (RAG) chatbot integrated with Telegram, allowing users to ask questions and receive accurate, context-aware answers from uploaded PDF documents. Powered by OpenAI for semantic embeddings and intelligent querying, it handles text messages via a Telegram trigger, retrieves relevant document chunks from a vector store, and generates responses using a GPT agent. Non-text inputs receive a fallback reply, ensuring smooth user experie
- Platform
- n8n
- Category
- Health & Fitness
- Price
- $24.99
- Creator
- Matt Buds
- RAG
- Chatbot
- Telegram
- OpenAI
- Google Drive
- PDF Processing
- Embeddings
- Vector Store
- AI Agent
- Document Q&A
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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