NVIDIA / GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Why this job: topics: rag, retrieval-augmented-generation
What it does
This repository is a starting point for developers looking to integrate with the NVIDIA software ecosystem to speed up their generative AI systems. Whether you are building RAG pipelines, agentic workflows, or fine-tuning models, this repository will help you integrate NVIDIA, seamlessly and natively, with your development stack.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 4,224
- +3 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.8.0
- Released 2 years ago
- Built with
- Jupyter Notebook
- 70% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 36% closed
- 47 still open
- Pull requests
- 201 merged
- 39 waiting
- Releases
- 8
- 0 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| RManLuo / gfm-rag | 313 | 2 months ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Jupyter Notebook 70%
- Python 26%
- TypeScript 2%
- Shell 1%
Topics
- gpu-acceleration
- large-language-models
- llm
- llm-inference
- microservice
- nemo
- rag
- retrieval-augmented-generation
- tensorrt
- triton-inference-server
Project record
- JobRAG and search
- StatusListed
- Commits365
- Forks1,101
- Watching91
- Stars in 28 days+23
- CreatedOct 19, 2023
- First seen by usNov 7, 2026
- CheckedNov 7, 2026