Built an intelligent n8n workflow that automatically ingests documents into a Qdrant Vector Database using Ollama embeddings, creating a searchable knowledge base. When users send a message, an AI agent retrieves the most relevant information through Retrieval-Augmented Generation (RAG), maintains conversation context with memory, and delivers accurate, context-aware responses. The solution enables fast, private, and scalable AI-powered customer support and internal knowledge retrieval without relying on cloud-based LLM infrastructure.