AI-Native FoundationsData · Knowledge Fabric
Data · Knowledge Fabric
The intelligence foundation: CDC pipelines, normalized schemas, semantic search.
The Knowledge Fabric is what makes Runners effective. It ingests and structures a credit union's SOPs, policies, compliance rules, and operational data into retrieval-ready context.
What's in it
- Change Data Capture (CDC) pipelines from banking cores, data flows out of legacy cores continuously, not by batch export.
- Normalized cross-core schemas: a single shape over cores (CU*Answers, Corelation, and more) that have never spoken the same language.
- Vector-indexed semantic search: provenance-backed retrieval across systems, so a Runner can cite where an answer came from.
This is the moat
Deep, core-processor-specific data work takes months per core and requires understanding established architectures. It's the hardest thing to copy and the most valuable thing a Runner stands on.
How it connects
The nervous system that moves this data is Circuit, the org-wide event/CDC layer. The retrieval intelligence built on top is the semantic layer. Runners in the Agent Runtime query the Fabric; everything they read is auditable through The Grid.
Deeper reference (canonical)
- Platform Services · Circuit
- Architecture · Semantic Layer
- ADR-021 · Grid ↔ Cores Banking-Core Integration