Framework ID: K-GRAPH
Ver 3.0.1

Atomic
Truth.

We don't just store documents; we distill them. WUF.AI extracts unstructured text into a structured graph of canonical facts, each immutably linked to its source evidence.

Extraction Rate
42k/hrOPTIMAL
Entity Resolution
99.2%STABLE
Conflict Queue
14WARNING
Graph Density
4.2OPTIMAL

Entity Resolution

We identify the core subjects. "Acme Corp," "Acme Inc," and "Acme" are all mapped to a single Canonical Entity ID.

Relation Extraction

We extract the relationship and value. For example: Entity (Enterprise Plan) → Relation (has_price) → Value ($499).

Attribute Normalization

We normalize metadata. "Next Tuesday," "Q3," and "10/12/2023" are converted into standard ISO date ranges for accurate querying.

Extraction Engine

Unstructured to Structured

Raw Text
NER
Relation
Canonical Fact
"Acme Corp's Q3 revenue reached $4.2M."
ENGINE_STATUS
RAW STAGE ACTIVE
TIME-AWARE

Temporal Facts

Truth is rarely static. What was true yesterday might not be true today.

WUF.AI's fact model includes native support for temporal validity. Facts can have `valid_from` and `valid_until` attributes, allowing the Knowledge Graph to answer questions about the past, present, and future states of your business.

Temporal Fact State
2023-01-01
202220232024
Pricing TierEXPIRED
Enterprise = $2,000/mo
valid_until: 2022-12-31
Pricing TierACTIVE
Enterprise = $4,999/mo
valid_from: 2023-01-01 | valid_until: 2023-12-31
Pricing TierFUTURE
Enterprise = $5,500/mo
valid_from: 2024-01-01
Canonical Fact
ENTITYEnterprise Plan
RELATIONhas_price
VALUE$499/mo
Evidence Link
CONFIDENCE: 0.98
Source: sales/pricing_v4_final.pdf (Page 2, Paragraph 3)
"...effective Q3, the Enterprise Plan will be adjusted to $499/mo to account for the new SSO features..."
ARCHITECTURE

Irrefutable Provenance

A fact without evidence is just a hallucination. In WUF.AI, every single extracted fact is cryptographically linked to the exact byte range in the source document.

  • AuditabilityWhen the engine answers a question or generates a report, it provides exact citations back to the original documents.
  • Confidence ScoringEvery extraction is scored. Low-confidence extractions can be flagged for human review before entering the canonical graph.
GOVERNANCE

Conflict Resolution

When two documents disagree, WUF.AI doesn't just guess. It flags the contradiction.

Our conflict engine uses source authority heuristics (e.g., Salesforce > Notion) and timestamps to propose the correct canonical fact, requiring human approval for high-risk changes.

Conflict Detected
Source: Notion (Marketing)
Feature X = Q3 Release
Source: Jira (Engineering)
Feature X = Q4 Release
Higher Authority Score
ingestion_pipeline
Syncing: Google Drive
Processing 42 updated documents...
Sync Complete: Confluence
15 new facts extracted. 0 conflicts detected.
AUTOMATION

Continuous Ingestion

The Knowledge Graph is never stale. WUF.AI continuously monitors your connected data sources for changes, automatically extracting new facts and deprecating old ones.

  • Real-Time SyncConnect via OAuth to Google Drive, Microsoft 365, Slack, and Notion. Changes are detected and processed within minutes.
  • Delta ProcessingWe only process what changed. Efficient hashing algorithms ensure we don't waste compute re-analyzing static documents.
THE RESULT

The Enterprise Knowledge Graph

Millions of atomic facts, continuously updated, instantly queryable, and cryptographically verified.

Truth Engine

Establish The Truth.

Turn your scattered documents into a structured, verifiable knowledge graph.