Document Q&A chatbot with Google Drive, GPT-4-mini & Telegram (RAG system)
Description š Overview This workflow creates a chat-based Retrieval-Augmented Generation (RAG) agent that lets you upload documents to Google Drive and then query them directly through Telegram. It uses embeddings, v...
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Description š Overview
This workflow creates a chat-based Retrieval-Augmented Generation (RAG) agent that lets you upload documents to Google Drive and then query them directly through Telegram. It uses embeddings, vector storage, and an AI agent to retrieve, analyze, and answer user questions with context-aware responses.
š§© Key Features
š Google Drive Integration
Watches a folder for new file uploads.
Downloads and loads documents automatically into the system.
š Vector Embeddings & Storage
Uses OpenAI embeddings to transform documents into vectors.