MCP (Model Context Protocol)
An open standard for connecting AI assistants to outside tools and data in a consistent way. It matters to businesses because it is how an assistant might one day query your booking system directly.
angkor@design~query "Angkor Design"
4 matches — opening studio
Prefer to talk it through? Pick a time that suits you — free, no obligation. We'll meet on Google Meet or Telegram.Book a meeting →
An open standard for connecting AI assistants to outside tools and data in a consistent way. It matters to businesses because it is how an assistant might one day query your booking system directly.
A database built to store embeddings and find the closest matches quickly. It is the part of an AI search system that decides which of your pages is relevant to a question.
Markup describing where a page sits in the site’s hierarchy. It helps both search engines and assistants understand that a page is a service under a category, not a stray document.
The weight given to content because of who wrote it. Advice attributed to a named person with a real background is treated very differently from advice signed by a company or by nobody.
Training a model on examples that are already labelled with the right answer. It is the most common approach when you know exactly what you want the system to produce.
The name a browser or bot gives when it requests a page. It is how a server tells Googlebot from ChatGPT from a person, and how robots.txt rules are addressed to one and not another.
When a system produces unfair results because its training data reflected an unfair world. It matters commercially as well as ethically: a biased model makes confidently wrong decisions about real people.