Create a RAG System with Paul Essays, Milvus, and OpenAI for Cited Answers

Create a RAG System with Paul Essays, Milvus, and OpenAI for Cited Answers This workflow automates the process of creating a document-based AI retrieval system using Milvus, an open-source vector database. It consists of two main steps: Data collection/processing Retrieval/response generation The system scrapes Paul Graham essays, processes them, and loads them into a Milvus vector store. When users ask questions, it retrieves relevant information and generates responses with citations. Step 1: Data Collection and Processing Set up a Milvus server using the official guide Create a collection named "mycollection" Execute the workflow to scrape Paul Graham essays: Fetch essay lists Extract nam

Help me set up the n8n workflow "Create a RAG System with Paul Essays, Milvus, and OpenAI for Cited Answers" (https://n8n.io/workflows/3573). It uses: HTTP Request, Code, HTML, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter, Default Data Loader, Information Extractor, Milvus Vector Store. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.