Create a Paul Graham Essay Q&A System with OpenAI and Milvus Vector Database

Nodes

24e3b914-15fa-444f-80e3-ca29bdacaf403b9f1b78-6b80-4575-aa6c-966987000389a97f27bd-6185-4b9b-bade-f7020a7a1885083a55c9-df56-4154-959f-52737890cad0d2545cc0-4d6d-43fc-bbcc-62005c2452f0+6

Created by

ChCheney Zhang

Last edited 11 days ago

Create a Paul Graham Essay Q&A System with OpenAI and Milvus Vector Database

How It Works

This workflow creates a question-answering system based on Paul Graham essays. It has two main steps:

  1. Data Collection & Processing:

  2. Chat Interaction:

    • Provides a question-answering interface using the stored vector embeddings
    • Utilizes OpenAI embeddings for semantic search

Set Up Steps

  1. Set up a Milvus server following the official guide
  2. Create a collection named "my_collection"
  3. Run the workflow to scrape and load Paul Graham essays
  4. Start chatting with the QA system

The workflow handles the entire process from fetching essays, extracting content, generating embeddings via OpenAI, storing vectors in Milvus, and providing retrieval for question answering.

New to n8n?

Need help building new n8n workflows? Process automation for you or your company will save you time and money, and it's completely free!