RAG (Retrieval-Augmented Generation)
A technique where the AI first searches a set of documents, then writes its answer from what it found. It is how assistants quote current information rather than whatever was in their training data.
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A technique where the AI first searches a set of documents, then writes its answer from what it found. It is how assistants quote current information rather than whatever was in their training data.
Training a model on unlabelled data and letting it find structure by itself — grouping similar customers, say, without being told what the groups are.
A saved set of prompts a team reuses so results stay consistent between people. The simplest way to stop everyone reinventing the same instructions badly.
Turning spoken words into text. It underpins voice search, dictation and call transcription, and it now handles accents and background noise far better than it used to.
The rough limit on how much of your site a crawler will fetch in a visit. Slow pages and endless near-duplicate URLs spend it on nothing, so the pages that matter get visited less often.
Google’s shorthand for Experience, Expertise, Authoritativeness and Trust — the qualities its raters look for. Not a score you can see, but a decent description of what makes content worth surfacing.
The format Google and the AI assistants prefer for structured data — a block of machine-readable facts tucked into the page. It states plainly what prose only implies: this is the business, this is the address, this is the price.