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Project comparison
RAG Techniques vs crawl4ai
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
RAG Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Best matched with other agent tools.
28.8K
Stars
+1.5K
Weekly
59/100
Health
crawl4ai
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Best matched with other agent tools.
84.7K
Stars
0
Weekly
66/100
Health
Quick Take
Adoption
crawl4ai has the larger GitHub footprint with 84.7K stars.
Momentum
RAG Techniques is currently growing faster at +1.5K stars this week.
Maintenance
crawl4ai has the stronger automated maintenance signal at 66/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | RAG Techniques | crawl4ai |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:17 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 28.8K | 84.7K |
| Weekly growth | +1.5K | 0 |
| Health score | Watch59/100 | Healthy66/100 |
| Contributors | 44 | 95 |
| Commits per week | 3.2 | 10.6 |
| Open issues | 13 | 226 |
| Language | Jupyter Notebook | Python |
| License | NOASSERTION | Apache-2.0 |
| Last commit | 2026-07-14 18:50 UTC | 2026-09-25 06:37 UTC |
| Last release | book-v1.0 | v0.9.4 |
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