Solutions: AI Workflows
AI Chatbot With Retrieval-Augmented Generation
Build AI chatbots powered by large language models that can accurately answer questions about your enterprise data.
Build a RAG Chatbot With NVIDIA NIM Microservices
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. This workflow example offers an easy way to start writing applications integrating NVIDIA NeMo™ Retriever and NIM™ inference microservices with popular open-source LLM programming frameworks.
Explore the RAG Chatbot Workflow Example
The NVIDIA RAG chatbot AI workflow example accelerates building enterprise solutions that accurately generate responses for a variety of use cases. You can use this example to write a RAG application using the latest GPU-optimized LLM, NeMo Retriever, and NIM microservices.
What’s in the workflow?
- An end-to-end sample RAG pipeline that illustrates NVIDIA’s integration with LangChain and LlamaIndex
- OpenAI-compatible APIs for LLM answer generation
- An example chatbot web application with code and APIs to gain a deeper understanding of how the primary components interact
- Easy and fast deployment of the complete RAG pipeline via Docker on an NVIDIA A100 Tensor Core GPU
- Optimized LLM inference performance and scaling through NVIDIA NIM
- The flexibility to integrate NIM models with self-hosted models
The RAG chatbot AI workflow provides a reference to build an enterprise solution with minimal effort.
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
Use an LLM to generate responses based on real-time information from your company’s enterprise data sources.
Generate Answers at Scale
Simplify the orchestration of scaling retrieval-augmented generation pods on Kubernetes in production.
Deploy Anywhere
Deploy the entire workflow on your preferred on-premises or cloud platform.
Accelerate the 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.