AI RAG Chatbot: Google Drive Docs + Gemini + Qdrant

This workflow creates an advanced Retrieval-Augmented Generation (RAG) chatbot integrated with Google Drive for document retrieval, Gemini AI for intelligent responses, and Qdrant for vector storage. It automatically fetches documents from a specified Drive folder, splits them into chunks, extracts metadata with AI, and stores embeddings for fast retrieval. The chat interface maintains conversation history in Google Docs, ensuring context-aware, accurate responses while supporting secure delete operations with human verification and Telegram notifications.

Key benefits include effortless scaling for large document sets, enhanced search accuracy via RAG, and streamlined operations with batch processing and version control. It's ideal for sales teams needing quick access to CRM docs, contracts, or product info without manual searching.

Use cases span sales enablement (querying client docs), knowledge bases for support, or internal research chatbots. Setup involves credential configuration for Drive, Gemini, Qdrant, and Telegram, followed by folder ID and collection setup, making deployment fast and reliable.