Embeddings
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 of information.…
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
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 hallucinations. How…
Search Intent
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 purely on…
Agentic Search
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 decision-making and…
Conversational Search
Conventional 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 throughout the…
Traditional Search
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 positions and…
Entity-Based Search
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 on an…
Semantic Search
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 answers rather…
LLM (Large Language Model)
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 between topics,…