Knowledge Graph

Overview

The Structured Knowledge Graph is a persistent, evolving representation of your organization’s information. It stores entities, relationships, and facts with confidence scores, enabling agents to produce grounded, verifiable outputs.

The Knowledge Graph is what makes MINDBLIX different from standard RAG (Retrieval-Augmented Generation) systems. Instead of just retrieving text chunks, agents reason over a structured graph of verified facts and relationships.

How It Works

Data Flow

Ingestion — Raw data arrives from connected sources (docs, APIs, databases)
Extraction — Entities (people, orgs, concepts) are automatically identified
Linking — Relationships between entities are mapped and verified
Scoring — Each fact receives a confidence score based on source reliability
Querying — Agents query the graph during reasoning for factual grounding

Entity Types

Entity	Description	Example
Person	Individual people	`John Smith, CEO`
Organization	Companies, teams	`Acme Corp, Engineering Team`
Concept	Abstract ideas, technologies	`Machine Learning, REST API`
Document	Source documents	`Q4 Report 2025.pdf`
Event	Timestamped occurrences	`Product Launch, March 2026`
Metric	Quantifiable values	`Revenue: $2.4M, ARR`

Confidence Scoring

Every fact in the knowledge graph has a confidence score:

Score Range	Level	Meaning
0.95 – 1.00	Verified	Multiple reliable sources confirm
0.80 – 0.94	High	Strong single-source evidence
0.60 – 0.79	Medium	Some supporting evidence
0.40 – 0.59	Low	Limited evidence, may need verification
0.00 – 0.39	Unverified	Flagged for human review

Agents will not use facts with a confidence score below the configured min_confidence threshold (default: 0.80) in their outputs.

Temporal Awareness

The knowledge graph tracks when information was added and whether it has been superseded:

{
  "entity": "Acme Corp",
  "attribute": "CEO",
  "value": "Jane Doe",
  "valid_from": "2025-06-01",
  "valid_to": null,
  "previous": {
    "value": "John Smith",
    "valid_from": "2020-01-15",
    "valid_to": "2025-05-31"
  }
}

This enables agents to answer time-sensitive questions accurately.

Getting Started

Core Concepts

Guides

Agent Catalog

Overview

How It Works

Data Flow

Entity Types

Confidence Scoring

Temporal Awareness

​Overview

​How It Works

​Data Flow

​Entity Types

​Confidence Scoring

​Temporal Awareness

Overview

How It Works

Data Flow

Entity Types

Confidence Scoring

Temporal Awareness