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all-in-rag

🔍Large model application development practice 1: RAG technology full stack guide, online reading address: https://datawhalechina.github.io/all-in-rag/

Prompt-Engineering-Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Popularity
Repository stars12,81379,750Highest
7-day net stars——
Fork6,4828,761Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-09-302026-03-11
Maintenance notesNot verifiedNot verified
Repository created2025-06-052022-12-16
License & use
LicenseLicense not declaredMIT · Permissive
License source—License source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generationRetrieval-augmented generation
TypeApps & systemsGuides & collections
SubcategoryReading & learningGetting started
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
LanguagePythonMDX
About this project🔍Large model application development practice 1: RAG technology full stack guide, online reading address: https://datawhalechina.github.io/all-in-rag/🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Measured at2026-11-02 19:00 UTC2026-11-02 18:58 UTC

License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.