NirDiamant / RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Why this job: topics: tutorials

What it does
- Comprehensive documentation for each technique
- Regular updates with the latest advancements
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 30,283
- +105 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest tag
- ai-agents-book-v1.0
- Released 15 days ago
- Built with
- Jupyter Notebook
- 95% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 97% closed
- 2 still open
- Pull requests
- 98 merged
- 5 waiting
- Releases
- 2
- 2 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| lancedb / vectordb-recipes | 987 | 6 days ago | Apache-2.0 | No downloads |
| deepset-ai / haystack-tutorials | 378 | 7 days ago | Apache-2.0 | No downloads |
| Yigtwxx / awesome-rag-production | 292 | 3 days ago | CC0-1.0 | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 95%
- Python 5%
Topics
- rag
- tutorials
- langchain
- llama-index
- llms
- python
- ai
- llm
- embeddings
- nlp
- openai
- retrieval-augmented-generation
Project record
- JobLists and guides
- StatusListed
- Commits555
- Forks3,703
- Watching252
- Stars in 28 days+507
- CreatedJul 13, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
