Glossary

Glossary of Context OS terms

Definitions and origins of the terms behind a Context OS, with distinctions from adjacent concepts. Each entry includes a 60-second definition, where the term comes from, what it does, and how it differs from things people often confuse it with.

Last updated: May 2026

Context OS

A structured, queryable layer of company knowledge that AI tools use to answer questions, ground decisions, and act with shared context.

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Knowledge Graph

A data structure that represents information as typed nodes connected by typed relationships, supporting traversal queries and structured reasoning.

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LLM Wiki

A personal or team knowledge wiki structured for LLMs to read. Coined by Andrej Karpathy in 2024.

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Model Context Protocol (MCP)

An open standard for connecting AI tools to data sources, knowledge layers, and external services. Released by Anthropic in 2024.

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Retrieval-Augmented Generation (RAG)

An AI technique that fetches relevant text chunks from external sources at query time and includes them in an LLM prompt to ground answers in specific data.

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Context Engineering

The practice of giving AI agents the right context at the right time. Covers retrieval design, context window management, prompt structure, and the systems that supply ongoing context.

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Source-Grounded AI

AI systems that produce answers traceable back to specific source documents, decisions, or attributions, with status and confidence on every claim.

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