Business AI, explained clearly

An AI system that can pursue a goal by reasoning, using tools, and taking actions within defined permissions.

A confident-looking AI output that is unsupported, fabricated, or inconsistent with the available evidence.

The ingestion step that divides a document into smaller passages so a retrieval system can index and return the most relevant context.

The limited amount of information an AI model can reference while producing one response, measured in tokens and shared by instructions, conversation, retrieved evidence, and output.

An individual or group accountable for maintaining definitions, quality standards, security context, compliance rules, and issue resolution for an assigned data or knowledge domain.

Numerical representations that place text or other data with similar meaning close together in a multidimensional space.

A service model that lets employees find approved HR information or complete permitted routine tasks directly, while personal, exceptional, or sensitive cases stay with authorized systems and HR teams.

A versioned collection of representative questions and expected behavior used to test retrieval and generated answers consistently.

The relationship between an AI output and the supplied evidence, where each material claim should be supported by the available context or facts.

A retrieval method that combines lexical keyword matching with semantic vector search and merges both result sets into one ranking.

An organized, governed collection of information that people or AI systems can consult to answer questions and perform work.

A missing, inaccessible, outdated, unclear, or unverified piece of knowledge that prevents a person or AI system from answering a real question reliably.

An accountable process for moving critical work context, approved sources and unanswered questions from one person or team to the people who must continue the work.

A retrieval step that includes or excludes documents using structured attributes such as department, date, source, document type, region, or access group.

An open protocol for connecting AI applications to tools, data sources, and reusable context through a consistent interface.

An attack or accidental instruction that tries to make an AI system ignore its intended rules, reveal data, or misuse tools.

A second-stage retrieval process that takes a small candidate set and reorders it using a more precise, query-aware relevance model.

A technique that retrieves relevant evidence from approved sources and supplies it to a generative model before it answers.

Search that uses the meaning and context of a query to retrieve and rank relevant information, not only exact word matches.

A Google Workspace file space whose content belongs to the team rather than one employee, with managed membership and access rules.

A support outcome in which a person gets help through self-service or reusable knowledge and does not submit an otherwise expected support ticket.

A data system optimized to store vectors and retrieve items whose numerical representations are most similar to a query.