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Ggenerative-ai
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
NRAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Popularity
Repository stars2,65930,197Highest
7-day net stars——
Fork6453,698Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-262026-11-02
Maintenance notesNot verifiedNot verified
Repository created2024-01-092024-07-13
License & use
LicenseMIT · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generationRetrieval-augmented generation · Tutorials
TypeGuides & collectionsGuides & collections
SubcategoryAdvanced guidesAdvanced guides
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookJupyter Notebook
About this projectComprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Measured at2026-11-02 19:00 UTC2026-11-02 18:59 UTC
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