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:

1. Data Collection and Processing

– Set up a Milvus server using the official guide.
– Create a collection named “my_collection.”
– 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 for vectorization.

2. Retrieval and Response Generation

When a chat message is received, the system:
– Sets chunks to send to the model.
– Retrieves relevant information from the Milvus Vector Store.
– Prepares chunks.
– Answers the query based on those chunks.
– Composes citations.
– Generates a comprehensive response.

This process uses OpenAI embeddings and models to ensure accurate and relevant answers with proper citations.