AI Knowledge Glossary
AI knowledge, explained without the fog.
Clear definitions for the systems behind trusted AI answers, from RAG and retrieval to source monitoring, citations, permissions, releases, and AI knowledge governance.
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Problem-oriented reading paths for teams shipping or fixing AI knowledge systems.
My chatbot keeps giving wrong answers
Start with hallucination, source quality, and answer testing before you tune prompts again.
I need to control what AI can access
Learn how permissions, policies, and audience boundaries keep internal knowledge internal.
I need better docs and support AI
Build help centers and docs assistants on governed, citation-backed knowledge.
I need to keep sources current
Monitor sources, detect changes, and prevent drift from becoming confident wrong answers.
I need to test AI answers
Evaluate answers, run regression tests, and close knowledge gaps before customers do.
I am building an AI product
Understand the knowledge layer, RAG governance, and agent permissions your product needs.
I manage AI across multiple clients or workspaces
Govern knowledge at scale with tenant isolation and consistent policies across workspaces.
Featured definitions
Knowledge
AI Knowledge Management
The work of deciding what your AI can rely on, who owns it, when it needs review, and what happens when it changes.
14 min read
Knowledge
AI Knowledge Base
A structured collection of verified documents and sources that AI applications are allowed to retrieve, cite, and answer from.
13 min read
Knowledge
AI Knowledge Governance
The policies, ownership, and review systems that control what knowledge AI may use and how it stays trustworthy over time.
13 min read
Knowledge
AI Source of Truth
The approved, current set of documents and claims that an AI application is authorized to treat as authoritative.
12 min read
RAG
RAG
Retrieval-Augmented Generation: a pattern where AI retrieves relevant documents before generating an answer.
14 min read
RAG
Retrieval-Augmented Generation
An AI architecture that searches a knowledge store for relevant context, then uses that context to generate a response.
13 min read
RAG
RAG Governance
The controls around retrieval that decide which sources are eligible, current, permissioned, and cite-worthy for each AI app.
12 min read
RAG
Grounded AI
AI responses constrained to information from approved sources rather than unconstrained generation.
8 min read
Explore by topic
Knowledge
AI Knowledge Management
Foundations for governing what AI can rely on, who owns it, and how it stays current.
Explore Knowledge →
RAG
RAG and Retrieval
Retrieval, context, embeddings, and the systems that connect documents to model answers.
See governed retrieval →
Sources
Sources and Freshness
Source monitoring, provenance, drift, and keeping knowledge current for AI.
Explore Source Maintenance →
Permissions
AI Permissions and Governance
Access control, policies, audiences, and boundaries for what each AI may know.
See AI access policies →
Answers
AI Answers and Citations
Source-backed answers, citations, claims, testing, and trust in AI responses.
See answer evaluations →
Docs
AI Documentation and Support
Help centers, docs assistants, support bots, and documentation that powers AI.
See Docs Assistant →
Operations
AI Evaluations and Operations
Testing, observability, releases, gaps, and running AI knowledge as an operation.
See answer testing →
Agents
AI Agents and Copilots
Knowledge, memory, context, and governance for AI agents and copilots.
Explore agent knowledge →
Scale
Multi-Workspace AI Governance
Portfolios, tenant isolation, and governing AI knowledge across many workspaces.
See workspace governance →
Definitions are useful. Governed knowledge is better.
Wiki helps you turn these concepts into a real system for the knowledge behind your AI.
Pillar terms
- AI Knowledge Management
- AI Knowledge Base
- AI Knowledge Governance
- AI Source of Truth
- RAG
- Retrieval-Augmented Generation
100 published terms · Updated July 2026
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