Agent Milvus Tool
detail.loadingPreview
Scrape Paul Graham essays and load them into Milvus for AI agent retrieval.
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About This Workflow
Overview
This workflow demonstrates how to scrape the latest Paul Graham essays from a website, process the extracted text, and load it into a Milvus vector database. This setup enables an AI agent to retrieve relevant information from the essays when performing tasks.
Key Features
- Scrapes essay titles and links using HTTP requests and HTML parsing.
- Limits the number of essays processed to the first three.
- Extracts the main text content from each essay.
- Loads essay text and embeddings into a Milvus vector store.
- Configures Milvus Vector Store as a tool for an AI agent.
How To Use
- Set up Milvus: Ensure you have a Milvus server running and a collection named
n8n_testcreated. - Configure Environment Variables: Set
WEBHOOK_URLto the base URL of the website containing the essays andBASE_URLto the base URL for fetching essay content. - Configure Credentials: Provide your Milvus API credentials and OpenAI API credentials.
- Execute Workflow: Click the "Execute Workflow" button to start the scraping and data loading process.
- Interact with AI Agent: Once the data is loaded into Milvus, you can interact with the AI Agent, which can now retrieve information from the Paul Graham essays.
Apps Used
Workflow JSON
{
"id": "89a880ed-eec4-48ea-a0b1-2cb8e9b444a2",
"name": "Agent Milvus Tool",
"nodes": 0,
"category": "AI & Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 89a880ed-eec4...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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