🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant
Embeddings OpenAI
Google Docs
Google DriveGoogle Gemini Chat Model
Information Extractor
LangChain Code
OpenAI Chat Model
Qdrant Vector StoreSSimple Memory
Telegram
Token Splitter🤖 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 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 Ke
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Embeddings OpenAIGoogle DocsGoogle DriveGoogle Gemini Chat ModelRelated workflows
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