Paul Graham essay search & chat with Milvus vector database

Name: Paul Graham essay search & chat with Milvus vector database
Availability: InStock
Author: Cheney Zhang

Paul Graham essay search & chat with Milvus vector database preview

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Important notice

This workflow is provided as-is. Please review and test before using in production.

Overview

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

Cheney Zhang

3 workflows

Nodes

n8n-nodes-base.manualtrigger n8n-nodes-base.httprequest n8n-nodes-base.html n8n-nodes-base.splitout n8n-nodes-base.limit n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter @n8n/n8n-nodes-langchain.vectorstoremilvus

Complexity

advanced

Published 16 Apr 2025

Likes 0

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Install path: /data/workflows/3576/3576.json

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Paul Graham essay search & chat with Milvus vector database

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Important notice

Overview

Paul Graham Essay Search & Chat with Milvus Vector Database

How It Works

Set Up Steps