RAG Chatbot: Google Drive Q&A via Telegram & GPT-4-mini - n8n Workflow | Neura Market
RAG Chatbot: Google Drive Q&A via Telegram & GPT-4-mini
Builds a chat-based RAG agent for querying Google Drive documents via Telegram, using OpenAI embeddings, vector storage, and GPT-4-mini for contextual answers with memory.
This workflow implements a Retrieval-Augmented Generation (RAG) system that enables users to upload documents to a monitored Google Drive folder. Upon upload, it automatically downloads the files, processes them into vector embeddings using OpenAI, and stores them in an in-memory vector store for efficient retrieval. This setup transforms static documents into a dynamic knowledge base accessible via natural language queries.
When users send questions through the integrated Telegram bot, an AI a
Platform
n8n
Category
Customer Support
Price
$24.99
Creator
Maxim Luong
RAG
Chatbot
Google Drive
OpenAI
GPT-4-mini
Telegram
Vector Store
Embeddings
AI Agent
Knowledge Base
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.