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Crawl websites and power flexible RAG-based content retrieval across AI stacks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Crawl4AI RAG" yet — see the docs or source repo.
Use Crawl4AI RAG to crawl the main pages of this documentation site, clean the content, build a searchable knowledge base, then answer: "How do I configure API authentication?" Include cited sources.
An answer generated from crawled content, with citations or source page links.
Crawl the product and pricing pages of these competitor websites, build a unified retrieval index, and summarize differences in features, pricing, and target customers.
A cross-site comparison summary grounded in the retrieved source pages.
Store the crawled help center articles in my chosen vector database backend, then verify that relevant articles can be retrieved using natural-language questions.
Completed ingestion and retrieval validation, including test questions, retrieved results, and performance notes.
Scrape pages and crawl websites automatically for structured content collection.
Orchestrate vector search, graph queries, and web crawling for agentic RAG workflows.
Run self-hosted web search and reliable scraping for AI workflows.
Run privacy-friendly web search and crawl pages for structured content extraction.
Turn unstructured documents into a searchable knowledge base for AI agents.
Intelligent RAG tool that chooses between private knowledge and web search.