#67 · Primary category: LLM Application Frameworks

GenerativeAIExamples

gpu-acceleration large-language-models llm llm-inference microservice nemo rag retrieval-augmented-generation tensorrt triton-inference-server

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Project last updated:08/20/26

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Apache-2.0

Why we included this project

NVIDIA's GenerativeAIExamples is less a single product and more a set of working recipes for anyone building generative AI on NVIDIA hardware. The repo collects reference workflows for RAG, agentic tool-calling, fine-tuning, evaluation, and guardrailing, nearly all of it built around NIMs and NeMo microservices. The notebooks show concrete setups: pointing RAG at a locally deployed NIM, assembling knowledge-graph retrieval, or running several guardrails in parallel to cut latency. Teams wanting to confirm how the NVIDIA pieces fit together before committing to an architecture can lift the patterns they need rather than start from scratch, and the accompanying notes make it easier to port them into your own microservice layout.

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