Turn ANY Website into LLM Knowledge in Seconds - EVOLVED
AI Summary
Summary of the Video: Using Crawl for AI to Scrape Websites
- Introduction to Crawl for AI:
- Open-source tool for scraping websites to format data for LLMs.
- Used in various projects including Archon, an AI agent builder.
- Objectives of the Video:
- Show users how to handle different types of websites and scrape them effectively.
- Focus on using Crawl for AI in a variety of scenarios.
- Key Features:
- Fast and produces data in markdown format, ideal for LLMs.
- Can scrape documentation for AI coding assistants like Context 7.
- Crawling Strategies:
- Using Sitemaps:
- Many websites provide a sitemap (e.g.,
example.com/sitemap.xml).- Navigational Crawling:
- Start from homepage; Crawl for AI finds internal links recursively.
- LLM.ext Documentation:
- Some sites provide all documentation in a single markdown page (e.g.,
/lms.ext).- Installation:
- Install Python and use
pip install crawl-for-ai.- Follow setup instructions in the Crawl for AI documentation.
- Script Demonstrations:
- Various examples of scripts to scrape single pages, batches of URLs, and documentation formats.
- Data Processing:
- Transform scraped HTML data into structured markdown, enhancing readability for LLMs.
- Agent Integration:
- Showcased how to build an AI agent that utilizes scraped knowledge in a vector database (Chroma DB).
- Demo Results:
- Successfully fetched and chunked documentation into various formats for AI use.
- Future Considerations for Archon:
- Discussion on improving Archon to serve as a knowledge engine for AI coding assistants rather than being focused on code generation.
- Request feedback from viewers regarding the potential changes to Archon’s direction.
- Conclusion:
- Encouragement to use Crawl for AI for web scraping and integrating knowledge into AI systems.
- Promise of more advanced content on RAG strategies and AI agents in future videos.
- Further Resources:
- Link to Crawl for AI documentation in the video description.