An AI sales assistant was developed for NVIDIA's sales representatives, utilizing LlamaIndex and NVIDIA Inference Microservices (NIM), to streamline internal operations by providing rapid access to critical information. This solution addressed the challenge of efficiently handling complex queries related to internal resources, products, and documentation, while also facilitating tasks such as translation and email drafting. The implementation involved creating a pipeline to manage various query types, employing LlamaIndex for core retrieval functionalities, and integrating NVIDIA NIM for advanced AI model inference, resulting in low-latency responses. The user-friendly Chainlit interface enabled intuitive interactions, enhancing user adoption and satisfaction. Key features included workflow implementation for versatile interactions, routing queries to appropriate models, and parallel retrieval from multiple sources. The project notably improved query response times and balanced performance with resource utilization, showcasing the efficacy of combining LlamaIndex and NVIDIA NIM for scalable AI solutions.