Turn ANY Website into LLM Knowledge in Seconds - EVOLVED



AI Summary

Summary of Video: Using Crawl for AI

  1. Introduction to Crawl for AI
    • Open-source tool for scraping websites to create LLM-ready knowledge.
    • Positive feedback from the community.
    • Importance of web scraping for LLM agents.
  2. Crawl for AI Documentation
    • Resource link provided in the video.
    • GitHub repository has gained 42,000 stars.
    • Fast and efficient at scraping web content.
    • Outputs data in Markdown format, optimal for LLM usability.
  3. Scraping Strategies
    • Sitemap Method:
      • Many sites provide a /sitemap.xml for easy access to URLs.
    • Navigation Method:
      • No sitemap? Crawl from the homepage and find links recursively.
    • LLM.ext Method:
      • Some documentation sites combine all pages into a single URL for easier access.
  4. Installation
    • Requires Python. Install with pip install crawl-for-ai and set up the Playwright browser.
  5. Examples
    • Demonstrated scraping a single page (Pantic AI documentation) and converting it to Markdown.
    • Further examples show how to scrape entire websites using sitemaps, navigation, or LLM.ext.
    • Batching and parallel processing for efficiency.
  6. Integration with Applications
    • Integrates with vector databases like Chroma DB for storing scraped knowledge.
    • Potential for building AI agents using the scraped data.
  7. Future of Archon
    • Discussion on Archon, a project utilizing Crawl for AI.
    • Considering pivoting Archon to focus more on being a knowledge engine rather than code generation.
  8. Conclusion
    • Encouragement to try out Crawl for AI based on showcased strategies.
    • Future plans for more RAG strategies will be shared.