Knowledge Graph
Extract entities, build knowledge graphs, and query relationships from your content.
Core Concepts
Observable/Observation Model - Start here - Entity architecture
Entity Types Comprehensive - All 20+ types (12 medical included)
Confidence and Occurrences - Timestamps, pages, bounding boxes
Workflow Extraction Explained - How LLMs extract entities
Configure Entity Extraction - Workflow setup
End-to-End Examples
Build complete knowledge graphs from various sources:
From PDF Documents - Most popular - Complete pipeline
From Emails - Gmail/Outlook → contact networks
From Slack Messages - Team collaboration graphs
From GitHub Repositories - Contributors, repos, dependencies
From Meeting Recordings - Audio → transcript → entities
From Medical Content - Clinical entity extraction (12 types)
Graph Queries
Relationship Queries - Person → Organization patterns
Advanced Graph Patterns - Subgraphs, centrality, paths
Entity Deduplication - How Graphlit handles duplicates
Knowledge Graph Enrichment - External data augmentation
Content + KG Integration
Filter Content by Entities - Find all content mentioning entity
Entity Co-Occurrence - Network analysis
KG-Guided Search - Entity expansion
Entity Timeline - First/last mentions
Export with Entities - JSON/CSV export
Related Tutorials
Knowledge Graph Quickstart - 20-minute complete tutorial
24 guides | ← Back to Use Cases
Last updated