Research & Insights

Available

Knowledge Graph

How people, facts, sources, places, and timelines can connect safely.

A knowledge graph is a way to connect family information: people, relationships, events, documents, places, citations, and confidence.

What this means

Connections should preserve evidence and uncertainty.
A relationship between facts is not the same as proof.
Sensitive or hidden data should not be inferred by the frontend.

How AINMAX supports this

Family Tree graph, people, relationships, facts, places, sources, citations, documents, and Timeline share the same scoped family context.
Graph navigation preserves explicit relationship direction, canonical deep links, privacy boundaries, and history state.
Evidence Review and legacy relationship review keep uncertainty and unresolved interpretation visible instead of silently inferring truth.

What is available now

Responsive family graph with search, selection, branch loading, viewport culling, and person inspectors.
Canonical relationship workflows, legacy review, fact editing, conflict recovery, and evidence-aware navigation.
Timeline, Historical Atlas, Research, and archive surfaces reuse authorized graph context without exposing hidden nodes.

What is planned

Further very-large-family performance and graph ergonomics refinements.
More cross-view explanation of confidence and provenance.
AI-generated relationship inference remains outside the active product.

Privacy / safety note

This page does not expose private graph data, raw source text, raw DNA, media bytes, storage paths, tokens, or public URLs.