RAG, cache-augmented generation, hybrid retrieval, memory, and knowledge systems that keep answers grounded.
3 posts
Basic retrieval-augmented generation, or RAG, is still the default grounding pattern for most production systems. If you have a large corpus, frequent updates, and a need to show where an answer came from, retrieval remains the cleanest starting point. But there is a practical limit case where si...
A travel-planning copilot for a mid-size agency is asked a straightforward question: "Did this hotel fail an accessibility review before for wheelchair users?"
Large language models are useful because they can synthesize, explain, and transform information in fluent language. They are unreliable when we ask them to know something current, something private, or something that needs verifiable support. A model may have seen similar material during trainin...