NVIDIA/GenerativeAIExamples
NVIDIA repository of reference workflows for building RAG pipelines, agentic systems, and fine-tuning pipelines using NVIDIA NeMo microservices and NIM inference engines.
Not currently ranked — collecting fresh signals.
star history
This repository provides Jupyter notebook-based reference implementations for generative AI development on NVIDIA infrastructure. It covers retrieval-augmented generation workflows with knowledge graphs, agentic systems using tool calling, embedding and model fine-tuning through NeMo microservices, and model evaluation and guardrailing. Workflows are optimized for GPU acceleration using TensorRT and Triton inference server and delivered as microservices for cloud-native deployment.
Frequently asked
- What is NVIDIA/GenerativeAIExamples?
- NVIDIA repository of reference workflows for building RAG pipelines, agentic systems, and fine-tuning pipelines using NVIDIA NeMo microservices and NIM inference engines.
- Is GenerativeAIExamples open source?
- Yes — NVIDIA/GenerativeAIExamples is open source, released under the Apache-2.0 license.
- What language is GenerativeAIExamples written in?
- NVIDIA/GenerativeAIExamples is primarily written in Jupyter Notebook.
- How popular is GenerativeAIExamples?
- NVIDIA/GenerativeAIExamples has 4.1k stars on GitHub.
- Where can I find GenerativeAIExamples?
- NVIDIA/GenerativeAIExamples is on GitHub at https://github.com/NVIDIA/GenerativeAIExamples.