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NVIDIA GenerativeAIExamples is an open-source repository that provides practical reference implementations and example workflows for building generative AI applications using NVIDIA’s software ecosystem. The project is designed to help developers accelerate the development of AI applications by providing ready-to-run pipelines, notebooks, and tools that demonstrate how to integrate large language models into real-world systems. The repository includes examples covering topics such as retrieval-augmented generation pipelines, agent-based workflows, and multimodal AI applications that combine text, vision, and data processing. Many of the examples show how to deploy AI services using containerized environments, GPU acceleration, and microservices that can scale across modern infrastructure. Developers can explore sample chatbot applications, document question-answering systems, and knowledge-base pipelines that illustrate how generative AI can interact with external data sources.
Features
- Reference architectures for building generative AI applications
- Examples of retrieval-augmented generation pipelines
- Integration with NVIDIA AI frameworks and GPU-accelerated infrastructure
- Tutorial notebooks demonstrating agentic and multimodal workflows
- Sample chatbot and knowledge-base applications using large language models
- Containerized deployment environments for scalable AI systems
Project Samples
