Create a Local MCP Server for Question Answering with RAG

This workflow involves setting up a local MCP Server that interacts with a semantic database using Qdrant for vector storage and Ollama for embeddings. The server is designed to answer questions by leveraging Retrieval Augmented Generation (RAG). It includes an ingestion pipeline for uploading documents and a client workflow for querying the server. Note that this setup is intended for local environments and is not compatible with the n8n cloud platform due to the use of the MCP Client Community Node.