Redis and NVIDIA NIM are being used to accelerate GenAI app development by providing a fast data platform for real-time data and AI applications. This combination enables companies to build and deploy GenAI apps faster, while staying ahead of the challenges of software development in this field. By using Redis as their vector database and NVIDIA NIM for model deployment, developers can skip the setup and maintenance of full-stack infrastructure, streamlining AI model deployment with pre-built cloud-native microservices that deliver optimized inference on NVIDIA accelerated infrastructure. With Redis and NVIDIA NIM, companies can reduce costs and speed up responses to provide real-time experiences for their users. The demo showcases how easy it is to get started with this technology, allowing developers to build a simple chatbot that uses RAG with a Redis vector database and NIM for model and inferencing, generating accurate responses in seconds.