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 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 Warning This flow only runs local and cannot be executed on the n8n cloud platform because of the MCP Client Community Node. Installation Install n8n + Ollama + Qdrant using the Self-hosted AI starter kit Make sure to install Llama 3.2 and mxbai-embed-large as embeddings model. Activate the n8n flow Run t

Help me set up the n8n workflow "Build an MCP Server which answers questions with Retrieval Augmented Generation" (https://n8n.io/workflows/5403). It uses: Default Data Loader, Qdrant Vector Store, Embeddings Ollama. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.