🤖 AI powered RAG chatbot for your docs + Google Drive + Gemini + Qdrant

🤖 AI-Powered RAG Chatbot with Google Drive Integration

This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.

How It Works

Document Processing & Storage 📚 - Retrieves documents from a specified Google Drive folder - Processes and splits documents into manageable chunks - Extracts metadata using AI for enhanced search capabilities - Stores document vectors in Qdrant for efficient retrieval

Intelligent Chat Interface 💬 - Provides a conversational interface powered by Google Gemini - Uses RAG to retrieve relevant context from stored documents - Maintains chat history in Google Docs for reference - Delivers accurate, context-aware responses

Vector Store Management 🗄️ - Features secure delete operations with human verification - Includes Telegram notifications for important operations - Maintains data integrity with proper version control - Supports batch processing of documents

Setup Steps

1. Configure API Credentials: - Set up Google Drive & Docs access - Configure Gemini AI API - Set up Qdrant vector store connection - Add Telegram bot for notifications - Add OpenAI Api Key to the 'Delete Qdrant Points by File ID' node