Paul Graham essay search & chat with Milvus vector database
n8n16 modulesv1.0agentchatTriggerdocumentDefaultDataLoaderembeddingsOpenAihtmlhttpRequestlimitlmChatOpenAimanualTriggersplitOuttextSplitterRecursiveCharacterTextSplittervectorStoreMilvus
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: 1. Scrape & Load: Fetches Paul Graham essays, extracts text, and stores them as vector embeddings in Milvus 2. Chat Interface: Enables semantic search and AI-powered conversations about the essays Set Up Steps 1. Set up Milvus server following the official installation guide, then create a collectio
About this workflow
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: 1. Scrape & Load: Fetches Paul Graham essays, extracts text, and stores them as vector embeddings in Milvus 2. Chat Interface: Enables semantic search and AI-powered conversations about the essays Set Up Steps 1. Set up Milvus server following the official installation guide, then create a collection 2. Execute the workflow to scrape essays and load them into your Milvus collection 3. Chat with the AI agent using the Milvus tool to query and discuss essay content
How to import this n8n workflow
- 1
Download the workflow JSON file after purchase.
- 2
Open n8n → click the menu → Import from File.
- 3
Select the downloaded JSON and import.
- 4
Set up credentials for each node that requires them.
- 5
Click Execute Workflow to test, then activate.
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