> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/ai-workbench/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/ai-workbench/_mcp/server.

> Provides information about the example projects for blueprint workflows

# Example Projects for Blueprint Workflows

These example projects demonstrate advanced AI workflows using NVIDIA AI Workbench and showcase different approaches to building enterprise-grade AI applications. The projects highlight:

- **PDF to Podcast Blueprint**: Transform PDF documents into engaging podcast-style audio content using AI-powered text-to-speech conversion and natural-sounding voices.
- **Retrieval Augmented Generation (RAG) Blueprint**: Implement a foundational RAG pipeline with advanced retrieval techniques, multimodal document processing, and enterprise-grade architecture using NVIDIA NIM microservices.
- **AI-Q Research and Reporting Blueprint**: Create a deep research assistant that generates detailed reports using on-premise data sources, parallel search capabilities, and human-in-the-loop feedback.

These blueprints are ideal for developers, researchers, and organizations looking to:

- Build scalable, enterprise-grade AI applications with NVIDIA's latest technologies
- Implement advanced retrieval and generation systems for knowledge management
- Create multimodal AI assistants that can process text, images, and documents
- Develop research automation tools with comprehensive reporting capabilities
- Leverage NVIDIA NIM microservices for production-ready AI deployments

Each blueprint provides comprehensive documentation, sample data, and deployment options including Docker Compose and NVIDIA AI Workbench integration.

| **Example Project on GitHub** | **Description** | **Clone and Open** | **Support Forum** |
|---|---|---|---|
| [PDF to Podcast Blueprint](https://github.com/NVIDIA-AI-Blueprints/pdf-to-podcast) | An example project that transforms PDFs into AI podcasts for engaging on-the-go audio content. | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL05WSURJQS1BSS1CbHVlcHJpbnRzL3BkZi10by1wb2RjYXN0) | [Support forum link](https://forums.developer.nvidia.com/t/support-workbench-example-blueprint-pdf-to-podcast/329784) |
| [Retrieval Augmented Generation (RAG) Blueprint](https://github.com/NVIDIA-AI-Blueprints/rag) | An example project that provides a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline. | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL05WSURJQS1BSS1CbHVlcHJpbnRzL3JhZw==) | [Support forum link](https://forums.developer.nvidia.com/t/support-workbench-example-blueprint-rag/336539) |
| [AI-Q Research and Reporting Blueprint](https://github.com/NVIDIA-AI-Blueprints/aiq-research-assistant) | An example project that create a deep research assistant that generates detailed reports using on-premise data. | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL05WSURJQS1BSS1CbHVlcHJpbnRzL2FpcS1yZXNlYXJjaC1hc3Npc3RhbnQ=) | [Forum Support link](https://forums.developer.nvidia.com/t/support-workbench-example-blueprint-ai-q-research-assistant/336538/2) |

## Related Topics

- [Example Projects for Agentic AI](/ai-workbench/quickstart/example-agents)
- [Example Projects for Retrieval Augmented Generation (RAG)](/ai-workbench/quickstart/example-rag)
- [Example Projects for Fine-Tuning Models](/ai-workbench/quickstart/example-fine-tuning)
- [Example Projects for Data Science Workflows](/ai-workbench/quickstart/example-data-science)
- [Example Projects using NIM Deployments](/ai-workbench/quickstart/example-nim)