High-level architecture and components for a generative AI-based RAG solution

This article discusses a high-level architecture for implementing a Retrieval Augmented Generation (RAG) solution for public sector proposal development using AWS technologies.

• RAG solution helps organizations quickly generate high-quality proposal responses
• Key components include:
  • Data ingestion from multiple sources
  • Foundation models from Amazon Bedrock and SageMaker
  • Response fine-tuning capabilities
  • User-friendly interface with access controls
• Two implementation options are provided:
  • AWS GenAI Chatbot (open-source GitHub solution)
  • Amazon Bedrock in SageMaker Unified Studio
• Benefits include:
  • Reduced proposal creation time
  • Improved accuracy and compliance
  • Intelligent reuse of past successful proposals

The solution aims to help AWS Partners accelerate their public sector business development by leveraging generative AI technologies.