Embeddings
● Foundation Embeddings Embeddings are mathematical representations of language, content or entities within a semantic vector space. They allow AI systems to recognize contextual similarity and semantic relationships between pieces…
In our Knowledge Hub – Foundation section you learn the key terms, concepts and most relevant topics behind Semantic Brand Architecture. This section breaks down common terminology into straightforward insights you can quickly understand and apply.
Hallucination
● Foundation Hallucination A Hallucination refers to incorrect or fabricated information generated by an AI system. Clear semantic structures, trustworthy sources and strong entity signals help reduce the risk of…
Search Intent
● Foundation Search Intent Search Intent describes the underlying goal or motivation behind a search query. Search engines and AI systems increasingly analyze context and user objectives instead of relying…
Agentic Search
● Foundation Agentic Search Agentic Search goes beyond traditional search by enabling AI systems to independently research, compare, analyze and act on behalf of the user. Search becomes an active…
Conversational Search
● Foundation Conversational Search Conversational Search describes a dialogue-based search experience in which users interact using natural language and receive direct answers. AI systems interpret context, intent and semantic meaning…
Traditional Search
● Foundation Traditional Search Traditional Search refers to the classic search engine model where users enter keywords and receive a list of ranked links. The primary focus is on ranking…
Entity-Based Search
● Foundation Entity-Based Search Entity-Based Search describes a search logic where uniquely identifiable entities and their relationships are interpreted instead of isolated keywords. Modern search and AI systems increasingly operate…
Semantic Search
● Foundation Semantic Search Semantic Search refers to search technologies that interpret meaning, context and user intent instead of relying solely on individual keywords. The goal is to deliver relevant…
LLM (Large Language Model)
● Foundation LLM (Large Language Model) A Large Language Model is an AI model capable of analyzing, understanding and generating natural language. It identifies patterns, semantic relationships and contextual connections…