Agent Milvus tool

• Researchers looking to analyze essays by Paul Graham.
• Developers wanting to integrate essay data into applications.
• Data Scientists interested in text processing and vector databases.
• Educators who wish to utilize essays for teaching purposes.
• AI Enthusiasts exploring LangChain and Milvus for natural language processing tasks.

This workflow automates the process of scraping essays from Paul Graham's website, extracting their content, and loading it into a Milvus vector database for efficient retrieval and analysis. It addresses the need for a streamlined method to gather and utilize essay data, saving users valuable time and effort.

• Step 1: Trigger the workflow by clicking "Execute Workflow".
• Step 2: Fetch the list of essays from Paul Graham's articles.
• Step 3: Extract essay names from the fetched HTML content.
• Step 4: Split the list of essays into individual items for processing.
• Step 5: Limit the processing to the first 3 essays for efficiency.
• Step 6: Fetch the full text of each essay by making HTTP requests.
• Step 7: Extract only the text content from the fetched essays, excluding images and navigation elements.
• Step 8: Load the extracted text into the Milvus vector database for storage and retrieval.
• Step 9: Set up an AI agent capable of responding to queries using the stored essays as a knowledge base.