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Context graphs model active context as a queryable graph structure. This includes conversation history, goals, open questions, decision steps, states, and persisted reasoning traces. Unlike static knowledge graphs, they emerge during execution and act as an operational memory layer for agents or process-centric systems that require strong context continuity.
Use this profile to understand the building block briefly, place it in the model, and open related building blocks.
Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Context graphs extend knowledge graphs with the context in which entities and relationships hold.
The approach connects knowledge graphs and GraphRAG with persistent, time-valid decision and provenance context. This makes multi-hop retrieval and agentic decisions more traceable.
Picture a network whose edges carry labels for time, place and source.
Context dimensions make graph knowledge more nuanced and auditable.
Graph retrieval can filter context and produce more appropriate answers.
Context graphs connect structured relationships with the context that explains their meaning and validity.
Where this building block is located in the topic model.
No structure path available.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.