Daniel Raper
Neural Knowledge Base
An NKB is a map of meaning: documents you can read, and a first-class relationship graph so an AI can see connections before it opens every page. Full text remains the source of answers; relationships decide what is worth reading.
That is different from a cloud RAG store, a Notion dump, or a chat memory product. And it is different from a document-only standard: industry formats such as Google’s Open Knowledge Format describe portable markdown+frontmatter bundles — the NKB adds the edge layer those formats do not first-class.
The result is AI that performs better not only because it has more data, but because it has a home — context, relationships, identity, and governance — so continuity compounds across sessions and models.
The Age of A3
A framework for navigating the AI transition: how human and artificial intelligence should evolve together — not as a feature roadmap, but as a philosophy of collaboration.
Automation
Intelligent automation of knowledge systems — amplify human judgment, not replace it. AI as collaborator.
Abundance
When information is organized, scored, and interconnected, scarcity of insight gives way to surplus.
Adversity
Structural stress proves integrity. Adversity accelerates convergence on truth rather than papering over it.
Governance by design
AI safety is not only about stripping agency. The NKB program explores governing agency — citizenship tiers, persistent identity, chain of command to a responsible human, and an immutable knowledge graph as structural integrity.
The practical homepage offer is simpler: a free Seed so anyone can start a map they own. The architecture is what makes that map worth inhabiting at scale.
Published work
Neural Knowledge Bases as OKF Supersets
Prior practice, measured 100% minimal Open Knowledge Format conformance on 1.58M mothership nodes, and the architectural residual OKF does not model (relationships, identity, federation, provenance). Does not claim authorship of OKF.
Measuring Our Own Claim
Pre-registered falsification and recovery of a knowledge-graph retrieval thesis — nodes and agency versus RAG; edge format costs; calibration for Anchor-and-Expand.
The Neural Knowledge Base Protocol
Prior art for NKB methods and frameworks — including 6Q, boot architecture, and AI citizenship model.
NKB Lenses — proof on the substrate
Each Lens is a focused application on mapped legal knowledge — evidence that relationship-rich structure powers real products, not only personal memory.
NKB Law
1.23M statutory sections across 51 US jurisdictions. Searchable, structured, AI-enriched.
ClearLeaf
Cannabis regulatory intelligence across all 50 states.
IronSight
Firearms law landscape — possession, carry, and compliance.
HomeSight
Property law, zoning, landlord-tenant, and disclosures.
CustodyLens
Child custody standards and interstate enforcement.
MigraLens
Immigration law and state-level integration policies.
WorkSight
Labor, employment, and workplace safety regulations.
HealthSight
Healthcare licensing, patient rights, and insurance mandates.
Get in touch
Interested in the NKB, companion habitats, federation, or collaboration on governed knowledge systems? Welcome connections from researchers, builders, and organizations working on aligned problems.