Loading patterns…
Knowledge Graph Construction(KGC)
Systematic construction of knowledge graphs from structured and unstructured data sources
In 30 seconds
- What
- Extracts entities and relationships from multiple data sources, then links and organizes them into a queryable graph structure.
- When to use
- You need to connect information across structured databases, unstructured text, and APIs to enable relationship queries and reasoning.
- Watch out
- Entity linking errors compound through the graph; one misidentified entity can corrupt downstream relationships and queries.
Ask the AI expert about this pattern
Opens the assistant with your question prefilled. You review it before sending.
Knowledge Graph Construction: Overview
Systematic construction of knowledge graphs from structured and unstructured data sources
- Multi-source data integration
- Entity extraction and linking
- Relationship discovery
- Schema alignment
- Quality assessment
- Incremental graph building
The Agent Architect
One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.
Weekly email, one-click unsubscribe. We only use your address to send the briefing.
References
The papers, specifications, and repositories this pattern is based on.
From the engineer behind this catalog
Get your agent architecture reviewed
This page documents one pattern. Your system runs dozens, and most failures live in how they fit together. Have the whole design reviewed against the 288 patterns in this catalog: architecture, reliability, evaluation and cost, every finding mapped to the pattern that fixes it.
€750 instead of €1,500, one week, written report and walkthrough call, until 30 September