Document Q&A chatbot with Google Drive, GPT-4-mini & Telegram (RAG system)
Description📌 Overview This workflow creates a chat-based Retrieval-Augmented Generation (RAG) agent that lets you upload documents to Google Drive and then...
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What This Workflow Does
This workflow enables a Retrieval-Augmented Generation (RAG) agent for chat-based document Q&A. It integrates Google Drive for storing documents, GPT-4-mini for generating responses, and Telegram for user input and output. The workflow automates the process of uploading documents and generating answers to user queries based on the uploaded content.
Who Should Use This
This workflow is ideal for developers, business owners, and anyone who needs to create a chat-based Q&A system that leverages machine learning and document storage. It's particularly useful for internal wikis, knowledge bases, and customer support systems.
Key Features
- Document Upload: Uploads documents to Google Drive for the RAG agent to access.
- GPT-4-mini Integration: Uses GPT-4-mini for generating answers to user queries based on the uploaded documents.
- Telegram Integration: Handles user input and output through the Telegram chat interface.
- RAG System: Provides a Retrieval-Augmented Generation system for generating accurate and relevant responses.
How to Get Started
To start using this workflow, import it into your n8n account and customize the settings to fit your specific use case. You'll need to connect your Google Drive account, GPT-4-mini API credentials, and Telegram bot token to get the workflow up and running.
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