Solutions: AI Workflows
Develop a RAG application powered by large language models that enables more natural, personalized shopping experiences.
Develop a generative AI-powered shopping advisor that provides interactive customer experiences using retrieval-augmented generation (RAG)—a technique that connects large language models (LLMs) to a company’s enterprise data—and NVIDIA NIM™ microservices. This workflow example provides an advanced starting point for generating conversational, accurate, and precise responses tailored to consumer shopping.
The retail shopping advisor AI workflow example demonstrates how NIM microservices can be used to develop a solution that enables more natural, personalized online shopping experiences.
The retail shopping advisor workflow provides an end-to-end reference solution, easily adaptable to your business.
AI workflows accelerate the path to AI outcomes. The retail shopping advisor workflow gives developers a reference solution to start building applications that can enhance online shopping experiences.
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. Showcase your expertise with a generative AI certification from NVIDIA.