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Stars gained: From Apr 26, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 5, 2026, each from zero02KApr 26Nov 5, 2026meta-llama/llama-cookbookNirDiamant/RAG_Techniques
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K25K30KApr 26Nov 5, 2026meta-llama/llama-cookbookNirDiamant/RAG_Techniques

Facts

Factmeta-llama/llama-cookbook

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

NirDiamant/RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Stars18,58330,243
Net stars, last 30 days+38+598
Largest star day+61 on Jul 20, 2026+68 on Oct 29, 2026
Milestone reached in the recordNoneNone
Forks2,7553,698
LanguageJupyter NotebookJupyter Notebook
LicenseMITOther license
CreatedJul 17, 2023Jul 13, 2024
Last pushMay 19, 2026Nov 2, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks4 of 4 checks
Health facts: Releases1 of 3 checks1 of 3 checks
Health facts: Security practice0 of 1 check0 of 1 check
Health facts: Community files3 of 3 checks2 of 3 checks
Commits, last 13 weeks035
Weeks with commits, last 520 of 5229 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: ai, langchain, llm, machine-learning, python. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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