Use modular architecture for flexible and extensible RAG-based generative AI solutions
AWS Public Sector
MAY 31, 2024
Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model (LLM). It references an authoritative knowledge base outside of its training data sources before generating a response. A RAG -based solution lets organizations jumpstart generative artificial intelligence (AI) applications with faster and more cost-effective ways to inject fresh, trusted data into foundation models (FMs), making generative AI easier for businesses to onboard.
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