AI-Powered RAG Chatbot for Seamless Document Interaction

This n8n workflow orchestrates a sophisticated RAG (Retrieval Augmented Generation) chatbot designed to understand and interact with your documents. It begins by intelligently extracting metadata and content from your files, whether they are stored in Google Drive or provided directly. Using Langchain's powerful tools, the workflow tokenizes this data for efficient processing. It then leverages Google Gemini to analyze and generate insights from the extracted information. Crucially, this knowledge is then vectorized and stored in a Qdrant vector database, enabling rapid retrieval and contextually relevant answers when you query the chatbot. This solution transforms your static documents into an interactive knowledge base.