5 Ways Azure AI Search Enhances Enterprise RAG Architectures

The transition from experimental Proof of Concepts (POCs) to production-grade applications is the most significant hurdle for enterprises today. At the heart of this transition lies retrieval-augmented generation (RAG). While the “Generation” part — handled by large language models (LLMs) like GPT-4 — is often the focus, the quality of the “retrieval” determines whether an AI application provides value or hallucinates incorrect information.