The NVIDIA AI Blueprint for RAG gives developers a foundational starting point for building scalable, customizable retrieval pipelines that deliver both high accuracy and throughput. Use this blueprint to create RAG applications that provide context-aware responses by connecting LLMs to extensive multimodal enterprise data—an essential capability for most generative AI use cases.
This blueprint can be utilized as-is, combined with other NVIDIA Blueprints, such as the Digital Human Blueprint or the AI Virtual Assistant for customer service, or integrated with an agent to support more advanced use cases. Get started with this reference architecture to unlock actionable insights, ground your decisions in relevant data, and boost overall productivity.
Hardware Requirements The blueprint offers two primary modes of deployment. By default, it deploys the referenced NIM microservices locally. Each method lists its minimum required hardware. This will change if the deployment turns on optional configuration settings.
OS Requirements
Deployment Options
NVIDIA Technology
3rd Party Software
NVIDIA believes Trustworthy AI is a shared responsibility, and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure the models meet requirements for the relevant industry and use case and address unforeseen product misuse. Please report security vulnerabilities or NVIDIA AI concerns here.
Use of the models in this blueprint is governed by the NVIDIA AI Foundation Models Community License.
This blueprint is governed by the NVIDIA Agreements | Enterprise Software | NVIDIA Software License Agreement and the NVIDIA Agreements | Enterprise Software | Product Specific Terms for AI Product. The models are governed by the NVIDIA Agreements | Enterprise Software | NVIDIA Community Model License and the NVIDIA RAG dataset which is governed by the NVIDIA Asset License Agreement.
The following models that are built with Llama are governed by the Llama 3.2 Community License Agreement: llama-3.1-70b-instruct, nvidia/llama-3.2-nv-embedqa-1b-v2, and nvidia/llama-3.2-nv-rerankqa-1b-v2.
Connect AI applications to multimodal enterprise data with a retrieval augmented generation (RAG) pipeline.