This Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications. Large language models (LLMs), a type of generative AI, are typically trained offline, making the models become less relevant as more data is created after the model was trained. With this Guidance, you can use RAG to retrieve data from multiple data sources, including data from outside the LLM. The data can be added to the LLM model to generate more accurate, human-like responses across text and voice interfaces
