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](https://milvus.io/), an open-source vector database. It consists of two main steps:

1. Data collection/processing 2. Retrieval/response generation

The system scrapes [Paul Graham essays](https://paulgraham.com/articles.html), 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

1. Set up a Milvus server using the [official guide](https://milvus.io/docs/installstandalone-docker.md) 2. Create a collection named "mycollection" 3. Execute the workflow to scrape Paul Graham essays: - Fetch essay lists - Extract names - Split content into manageable items - Limit results (if needed) - Fetch texts - Extract content - Load everything into Milvus Vector Store

This step uses [OpenAI embeddings](https://platform.openai.com/docs/guides/embeddings) for vectorization.

Step 2: Retrieval and Response Generation