Paul Graham Essay Search & Chat with Milvus Vector Database

Paul Graham Essay Search & Chat with Milvus Vector Database How It Works This workflow creates a RAG (Retrieval-Augmented Generation) system using Milvus vector database to search Paul Graham essays: Scrape & Load: Fetches Paul Graham essays, extracts text, and stores them as vector embeddings in Milvus Chat Interface: Enables semantic search and AI-powered conversations about the essays Set Up Steps Set up Milvus server following the official installation guide, then create a collection Execute the workflow to scrape essays and load them into your Milvus collection Chat with the AI agent using the Milvus tool to query and discuss essay content

Help me set up the n8n workflow "Paul Graham Essay Search & Chat with Milvus Vector Database" (https://n8n.io/workflows/3576). It uses: HTTP Request, HTML, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Recursive Character Text Splitter, Default Data Loader, Milvus Vector Store. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.