Crawl4AI vs RAG Failure Diagnostics Clinic
Side-by-side comparison with live GitHub signals. Last updated July 11, 2026.
| Metric | Crawl4AI | RAG Failure Diagnostics Clinic |
|---|---|---|
| GitHub Stars | 72.3K | 117.7K |
| Contributors | 81 | 80 |
| Last Commit | Jul 9, 2026 | Jul 11, 2026 |
| Open Issues | 106 | 5 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | dev-tools | dev-tools |
| Trending | No | No |
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Only in Crawl4AI
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About Crawl4AI
Crawl4AI is a free, open-source web crawling and scraping tool optimized for LLMs. Handles JavaScript rendering, generates clean markdown, supports structured data extraction with LLMs, and runs 6x faster than alternatives. Features multi-URL crawling, session management, proxy support, and custom hooks. Fully local with no API keys required.
View full listingAbout RAG Failure Diagnostics Clinic
A diagnostic tool that identifies why RAG pipelines produce poor results. It tests for common failure modes: irrelevant retrieval, missing context, hallucination over context, chunking issues, and embedding quality problems. Provides a structured report with specific fix recommendations for each detected issue. Essential for debugging production RAG systems. Part of the awesome-llm-apps collection.
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