Dell Scalable Architecture for Retrieval-Augmented Generation (RAG) with NVIDIA Microservices

• 1

  Introduction
• 2

  Overview
• 3

  About this document
• 4

  Audience
• 5

  Revision history

• 1

  What are LLMs?
• 2

  What is RAG?
• 3

  Why RAG and LLM? Significance of Generative AI Chatbots

• 1

  Dell and NVIDIA: A New Era for Chatbots
• 2

  Business Challenges and Use Cases
  • Accelerating AI Initiatives with RAG
  • Streamlined Access to Information: Enhancing Internal Interactions
• 3

  Solution approach
  • Paving the Way for Advanced AI Deployments with NVIDIA RAG and Dell Technologies
  • Kubernetes: Orchestration and Management
  • Dell CSI PowerScale for Kubernetes: Optimized Storage for Containerized Environments
  • NVIDIA Cloud Native Stack and NVIDIA AI Application Framework: Comprehensive AI Platform
  • Large Language Models
  • Document Ingestion
  • Response Generation

• 1

  Solution design
• 2

  Hardware design
  • Server
  • Storage
  • Networking
• 3

  Software design
  • AI or Solution Software
  • NVIDIA Cloud Native Stack
  • NVIDIA Enterprise RAG Text QA Pipeline Architecture
  • Prerequisites
• 4

  Implementation guidance

• 1

  Results or findings
• 2

  Test results

• 1

  Conclusion
• 2

  We value your feedback

• 1

  Dell Technologies documentation
• 2

  Partner documentation

• 1

  Code updates