Enables AI assistants to crawl websites, extract and store web content with semantic search capabilities using vector embeddings, and retrieve information through natural language queries with tag-based filtering and intelligent content cleaning.
Enables crawling and extracting clean content from documentation websites with optional LLM-powered analysis for intelligent summaries, code example extraction, and content classification.
Provides AI agents and coding assistants with advanced web crawling and RAG capabilities, allowing them to scrape websites and leverage that knowledge through various retrieval strategies.
Provides web crawling and RAG capabilities for AI agents, enabling scraping of websites, storing content in a vector database (Supabase), and performing semantic search over crawled data.
Enables web scraping and crawling capabilities for LLM clients, supporting single-page scraping, multi-page website crawling, and web search with multiple engines (Playwright, Cheerio, Puppeteer) and flexible output formats including markdown, HTML, text, and screenshots.
Enables conversion of webpages to clean markdown with content quality scoring and multi-page crawling for documentation sites. Supports Claude Code, Cursor, and Windsurf with native LangChain and LlamaIndex export formats.
