Solutions: AI Workflows
Enterprise Retrieval-Augmented Generation
Build production-quality AI chatbots that can accurately answer questions about your enterprise data.
Build Enterprise Chatbots With Retrieval-Augmented Generation
Find the tools you need to develop generative AI-powered chatbots, run them in production, and transform data into valuable insights using retrieval-augmented generation (RAG)—a technique that connects large language models (LLMs) to a company’s enterprise data. Workflow examples offer an easy way to get started writing applications that integrate NVIDIA microservices with popular open-source LLM programming frameworks.
Explore the RAG Workflow Examples
NVIDIA AI workflow examples accelerate building and deploying enterprise solutions that accurately generate responses for a variety of use cases. You can use these examples to write RAG applications using the latest GPU-optimized LLMs and NVIDIA NeMo™ microservices.
NVIDIA RAG workflow examples include:
- End-to-end sample RAG pipelines illustrating NVIDIA integration with LangChain and LlamaIndex
- Open AI-compatible APIs for LLM answer generation
- Example chatbot web user interfaces that can be customized for your application
- Easy and fast deployment of the complete RAG pipeline via Docker on a single GPU
- Optimized LLM inference performance and scaling through NVIDIA NIM
- The flexibility to integrate models from the NVIDIA API catalog with self-hosted models
Get a high-level view of the AI workflows, from development to production.
Deploy Production RAG Pipelines
The NVIDIA RAG LLM operator makes it easy to deploy your RAG application into production. With an NVIDIA AI Enterprise subscription, the operator deploys RAG pipelines developed using the example workflows into production without rewriting any code.
The NVIDIA RAG LLM operator:
- Simplifies production deployment of RAG applications into Kubernetes clusters
- Uses the same Open AI-compatible APIs as the NVIDIA RAG workflow examples
- Fully integrates with the NVIDIA GPU Operator to simplify infrastructure management
- Is certified to run anywhere with workload portability across multi-and hybrid-cloud environments
- Offers state-of-the-art model and data security with NVIDIA Confidential Computing support
- Is optimized for GPU-accelerated performance at massive scale
Start Your Generative AI Journey on NVIDIA LaunchPad
Have an upcoming generative AI project? Get access to the AI chatbot using the RAG workflow with a free curated lab. Access a step-by-step guided lab with ready-to-use software, sample data, and applications.
Easily Build RAG-Based AI Applications Anywhere
Deliver Accurate Responses
LLM generates responses based on real-time information from a company’s enterprise data sources.
Generate Answers at Scale
Simplify the orchestration of scaling retrieval-augmented generation pods on Kubernetes in production.
Deploy Anywhere
The entire workflow can be deployed on your preferred on-premises or cloud platform.
Accelerate Development of AI Solutions
AI workflows accelerate the path to AI outcomes. The enterprise-ready RAG workflow gives developers a reference solution to start building an AI chatbot.
Get Started With Retrieval-Augmented Generation
Elevate Your Generative AI Skills With NVIDIA Training
Take advantage of our comprehensive Generative AI/LLM learning path, covering fundamental to advanced topics, featuring hands-on training and delivered by NVIDIA experts. You can opt in for the flexibility of self-paced courses or enroll in instructor-led workshops to earn a certificate of competency.