RAG Knowledge Base Chatbot with OpenAI & MongoDB Vectors

This n8n workflow template consists of two interconnected automations for building a sophisticated knowledge base chatbot. Workflow 1 handles document ingestion and indexing: it pulls product documentation from Google Docs, splits it into searchable chunks, generates OpenAI embeddings, and stores them in MongoDB Atlas with metadata for semantic search. Workflow 2 powers the query interface: it embeds user questions, retrieves relevant chunks via vector similarity search in MongoDB, and uses GPT-