Use modular architecture for flexible and extensible RAG-based generative AI solutions

This article discusses the use of a modular architecture for flexible and extensible retrieval-augmented generation (RAG) based generative AI solutions.

Specifically, the article covers:

• The benefits of RAG architecture for generative AI applications, including reducing hallucinations, answering business questions with proprietary data, and keeping LLMs current and relevant
• An AWS cloud infrastructure with a modular architecture that enables the integration of different vector stores, LLMs, and orchestration components
• The advantages of this modular architecture, such as modularity and scalability, flexibility and agility, and adaptability to future trends in generative AI
• The steps involved in loading data into the vector store and generating a response with a prompt
• The compliance and security benefits of this architecture for public sector organizations