Build Conversational AI Applications

Businesses are deploying AI virtual assistants to efficiently address the queries of millions of customers and employees around the clock. Powered by customized NVIDIA NIM microservices for LLMs, RAG, and speech and translation AI, these AI teammates deliver immediate and accurate spoken responses, even in the presence of background noise, poor sound quality, and diverse dialects and accents.

Consumers expect contact center agents to resolve their issues quickly and efficiently. To help agents deliver the best possible experiences, enterprises across diverse industries are deploying agent assist technology powered by NIM microservices for RAG, LLMs, and speech and translation AI. This technology provides real-time facts and suggestions, helping agents respond more effectively and efficiently. The multimodal PDF data extraction NIM Agent Blueprint can enhance generative AI applications with RAG, infusing AI agents with instant knowledge collected from massive volumes of data.

In the global economy, businesses hold millions of online meetings daily and serve customers with diverse linguistic backgrounds. Companies achieve accurate live captioning with real-time transcription and translation, accommodating worldwide accents and domain-specific vocabularies. They can use LLM NIM microservices for summarization and insights, ensuring effective communication and smooth global interactions.

Service robots are increasingly found in hospitals, airports, and retail stores worldwide. They aid frontline workers by handling daily repetitive tasks in restaurants and manufacturing facilities, assist customers in locating store items, and support physicians and nurses in patient care.