Glossary
This glossary summarizes the concepts that appear most often when a company evaluates chatbots, AI agents, smart catalogs, and automated customer service.
Definition source
Each term includes a short definition, a clearer explanation, and a concrete reference to how it appears inside Dialo.ar.
We group terms by retrieval, orchestration, model behavior, and answer-engine visibility.
Retrieval and search
Concepts tied to how AI finds, prioritizes, and uses relevant information.
Orchestration and tools
Terms about how an agent decides actions and connects to external systems.
Models and context
Core ideas for understanding what a model does, what it can hold in context, and how it is guided.
Visibility and optimization
Concepts related to how a brand becomes understandable and citable for answer engines.
If you are just getting started, these are usually the first definitions worth mastering.
Retrieval and search
What is RAG
RAG stands for Retrieval-Augmented Generation: generating answers with information retrieved at runtime.
Retrieval and search
What is an embedding
An embedding is a numerical representation that lets systems compare meaning across texts, products, or queries.
Orchestration and tools
What is function calling
Function calling is the ability of a model to request structured actions instead of replying only with text.
Orchestration and tools
What is MCP
MCP stands for Model Context Protocol and aims to standardize how a model accesses context and external tools.
Models and context
What is an LLM
LLM means Large Language Model: a model trained to understand and generate language.
Models and context
What is a context window
The context window is the amount of immediate information a model can consider while answering.
Visibility and optimization
What is AEO
AEO stands for Answer Engine Optimization: optimizing content so answer engines can understand it and cite it more effectively.
Dialo.ar combines search, context, and concrete actions to resolve sales and support flows with AI.