Glossary
Business AI, explained clearly
Technical concepts turned into practical definitions, business examples, and sources for further reading.
A
AI agents
An AI system that can pursue a goal by reasoning, using tools, and taking actions within defined permissions.
AI quality and safety
A confident-looking AI output that is unsupported, fabricated, or inconsistent with the available evidence.
E
RAG and search
Numerical representations that place text or other data with similar meaning close together in a multidimensional space.
H
RAG and search
A retrieval method that combines lexical keyword matching with semantic vector search and merges both result sets into one ranking.
K
Knowledge management
An organized, governed collection of information that people or AI systems can consult to answer questions and perform work.
M
AI agents
An open protocol for connecting AI applications to tools, data sources, and reusable context through a consistent interface.
P
AI quality and safety
An attack or accidental instruction that tries to make an AI system ignore its intended rules, reveal data, or misuse tools.
R
RAG and search
A second-stage retrieval process that takes a small candidate set and reorders it using a more precise, query-aware relevance model.
RAG and search
A technique that retrieves relevant evidence from approved sources and supplies it to a generative model before it answers.
S
RAG and search
Search that compares meaning and context rather than relying only on exact keyword matches.
V
RAG and search
A data system optimized to store vectors and retrieve items whose numerical representations are most similar to a query.