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 |
|---|---|---|---|
An example project that transforms PDFs into AI podcasts for engaging on-the-go audio content. |
|||
An example project that provides a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline. |
|||
An example project that create a deep research assistant that generates detailed reports using on-premise data. |