Spring AI and RAG (Retrieval-Augmented Generation)

In the rapidly evolving field of artificial intelligence, the ability to retrieve and process information accurately and efficiently is paramount. Large Language Models (LLMs) like GPT-3 and GPT-4 have shown remarkable capabilities in generating human-like text based on extensive training on public domain data. However, these models face limitations when it comes to handling proprietary, enterprise-specific data that they have not been pretrained on. This is where Retrieval-Augmented Generation (RAG) steps in.