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Facts
| Fact | bragai/bRAG-langchain Everything you need to know to build your own RAG application | meta-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 |
|---|---|---|
| Stars | 4,198 | 18,589 |
| Net stars, last 30 days | +23 | +34 |
| Largest star day | +7 on Sep 1, 2026 | +61 on Jul 20, 2026 |
| Milestone reached in the record | None | None |
| Forks | 506 | 2,757 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | Other license | MIT |
| Created | Nov 16, 2024 | Jul 17, 2023 |
| Last push | Oct 18, 2026 | May 19, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 1 of 4 checks |
| Health facts: Releases | 0 of 3 checks (2 without data) | 1 of 3 checks |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check |
| Health facts: Community files | 1 of 3 checks (2 without data) | 3 of 3 checks |
| Commits, last 13 weeks | No data | 0 |
| Weeks with commits, last 52 | No data | 0 of 52 |
| In the Repository Index since | Nov 10, 2026 | Oct 22, 2026 |
Topics that all of them have on the Repository Host: llm, machine-learning, python, ai. 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