Home > AI Solutions > Gen AI > White Papers > Dell Scalable Architecture for Retrieval-Augmented Generation (RAG) with NVIDIA Microservices > Business Challenges and Use Cases
Situation: Achieving superior AI capabilities quickly and efficiently is crucial for businesses to stay competitive, as this enables faster and more informed decision-making, streamlines operations, and accelerates development cycles in response to market demands. However, traditional AI development, such as fine-tuning or training and the associated deployment processes, are time-consuming and resource-intensive.
Solution: Using proprietary company data, NVIDIA RAG enables rapid deployment by integrating off-the-shelf large language models, such as Llama 2 13b. This approach shortens the development cycle and yields better-performing chatbots and AI applications in less time than models fine-tuned on the same datasets. Dell Technologies' scalable hardware solutions ensure that these advanced models are supported by robust computing and storage capabilities, facilitating quick and effective AI rollouts.
Situation: Organizations often need help to efficiently disseminate internal policies and knowledge to employees and provide consistent, accurate information over time. This challenge can lead to reduced productivity and compromised operational efficiency.
Solution: By leveraging NVIDIA AI Enterprise, companies can ingest their internal policy documents, FAQs, knowledge bases, and technical information into a vector database, enabling the creation of chatbots that provide immediate, accurate answers. This technique significantly reduces employees' time searching for information, streamlining operational efficiency and boosting overall productivity. Deploying this solution on Dell Technologies' hardware ensures reliable performance across all internal communication channels, even under heavy query loads.
Customer Service Enhancement
Situation: Ensuring customers receive consistent, accurate, and policy-compliant information across service channels can be a daunting challenge for businesses. This difficulty is magnified at scale, where maintaining the quality of customer interactions becomes increasingly complex, potentially consisting of the customer experience.
Solution: Customer-facing chatbots, enhanced with RAG and company-specific data, can deliver high-quality communication, ensuring customers receive correct information about returns, compensation, or problem resolution in line with company policies. This enhances the customer experience and aligns customer interactions with company standards, ensuring trust and satisfaction.
These use cases highlight the practical advantages of deploying NVIDIA RAG on Dell Technologies' infrastructure, showcasing the solutions' ability to address common challenges organizations face in developing, deploying, and scaling AI models. The synergy between NVIDIA's advanced AI technologies and Dell's robust hardware ecosystem mitigates operational challenges. It empowers businesses to harness the full potential of AI to innovate and improve their operations.