Turn ANY Website into LLM Knowledge in Seconds - EVOLVED
AI Summary
Summary of Video: Using Crawl for AI
- 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.
- 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.
- 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.
- Installation
- Requires Python. Install with
pip install crawl-for-ai
and set up the Playwright browser.- 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.
- Integration with Applications
- Integrates with vector databases like Chroma DB for storing scraped knowledge.
- Potential for building AI agents using the scraped data.
- 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.
- Conclusion
- Encouragement to try out Crawl for AI based on showcased strategies.
- Future plans for more RAG strategies will be shared.