Databricks retrieval-augmented generation succeeds or fails long before the final prompt reaches a language model. The retrieval layer has to find the right passages, apply […]

Deploying a generative AI application on Databricks is not just a matter of placing a model behind an HTTP endpoint. The serving design determines which […]

Modern LLM applications are difficult to operate because the visible answer is only the last step in a chain of decisions. A production request may […]

A RAG application or AI agent expands the security boundary of an ordinary analytics workload. The application may retrieve documents, query structured data, call functions, […]