Build an MCP server which answers questions with retrieval augmented generation

Build an MCP Server which has access to a semantic database to perform Retrieval Augmented Generation (RAG)

Tutorial  [Click here to watch the full tutorial on YouTube](https://youtu.be/GB2RZ25HTD8)

How it works This MCP Server has access to a local semantic database (Qdrant) and answers questions being asked to the MCP Client.

AI Agent Template [Click here to navigate to the AI Agent n8n workflow which uses this MCP server](https://n8n.partnerlinks.io/5398-ai-assistant-which-answers-questions-with-a-rag-mcp-and-a-search-engine-mcp)

Warning This flow only runs local and cannot be executed on the n8n cloud platform because of the MCP Client Community Node.

Installation 1. Install n8n + Ollama + Qdrant using the [Self-hosted AI starter kit](https://github.com/n8n-io/self-hosted-ai-starter-kit)

2. Make sure to install Llama 3.2 and mxbai-embed-large as embeddings model.

3. Activate the n8n flow