Glossary
Clear definitions for understanding how an AI-powered operation works.
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.
Glossary categories
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.
Featured entries
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 an AI agent
An AI agent is a system that not only replies but also decides steps, uses tools, and pursues an objective inside a flow.
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.
Want to see these concepts applied to a real operation?
Dialo.ar combines search, context, and concrete actions to resolve sales and support flows with AI.