[KongchangAI]
ConceptContext Graph

Context Graph

A structured knowledge representation of entities and their relationships that enables AI agents to reason along relationship chains rather than treating data in isolation.

Timeline (last 90 days)

Oct 21

V7's official judgment: model capability is only half of success; the other half is the platform architecture on which the model runs (the context graph).

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Oct 21

V7's context graph organizes entities, facts, and relationships according to an ontology matched to customer data.

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Oct 21

V7's research shows that the drop in hallucination rate comes from two aspects: the model judges knowledge boundaries more accurately, and the context graph filters out facts that should not be remembered during the data ingestion stage.

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Oct 21

V7 runs its own context graph benchmark test for every new model.

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Oct 17

The Beads architecture redefines context as a structured, navigable graph of 'beads' rather than a flat token stream.

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Oct 9

The context graph attaches a W3C-standard PROV-O provenance trail to every fact.

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