RT
NirDiamant/RAG_Techniques
📖 NEW BOOK (/bin/zsh.99 launch): https://amzn.to/4cvxqSw — This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
26.6k 3.2k +0/wk
GitHub
ai langchain llama-index llm llms opeani python rag tutorials
Trend
3
Star & Fork Trend (47 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
NirDiamant/RAG_Techniques has +0 stars this period . 7-day velocity: 0.3%.
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| Metric | RAG_Techniques | Resume-Matcher | gpt-researcher | prompt-optimizer |
|---|---|---|---|---|
| Stars | 26.6k | 26.5k | 26.3k | 26.1k |
| Forks | 3.2k | 4.8k | 3.5k | 3.1k |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | TypeScript | Python | TypeScript |
| Sources | 1 | 2 | 2 | 2 |
| License | NOASSERTION | Apache-2.0 | Apache-2.0 | NOASSERTION |
Capability Radar vs Resume-Matcher
RAG_Techniques
Resume-Matcher
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 60
Fork-to-star ratio: 12.0%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.