Solutions: AI Workflows
Build chatbots that can accurately answer domain-specific questions in natural language using the latest information.
Generative AI gives users the ability to quickly generate new content, such as text, images, sounds, animation, 3D models, and computer code. Tapping into knowledge base question answering (KBQA) powered by generative AI, chatbots can accurately answer domain-specific questions by retrieving information from a company’s knowledge base and providing real-time responses in natural language.
The generative AI knowledge base chatbot AI workflow accelerates building and deploying enterprise solutions that accurately generate responses for your use case. It uses large language models (LLMs), NVIDIA NeMo™, NVIDIA Triton™ Inference Server, and NVIDIA Triton Management Service (TMS), to both train and deploy the KBQA system.
A high-level view of the AI workflow, consisting of training and inference pipelines built using NeMo, supported by Triton Management Service, and running on top of cloud-native infrastructure from NVIDIA AI Enterprise software. Detailed views of each pipeline can be found in the technical brief.
NeMo-powered LLM generates responses based on real-time information from the company’s database.
TMS simplifies the orchestration of scaling Triton Inference Server pods on Kubernetes in production.
The entire workflow can be deployed on your preferred on-prem and cloud platform.
AI workflows accelerate the path to AI outcomes. The generative AI knowledge base chatbot AI workflow gives developers a reference to start building a KBQA AI solution.
Best-in-class AI software streamlines development and deployment of AI solutions.
Frameworks and containers are performance-tuned and tested for NVIDIA GPUs.
Business-critical AI projects stay on track with NVIDIA Enterprise Support, available globally.
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