Blog

Guides, tutorials, and deep dives on knowledge graphs, AI extraction, RAG, and the workflow of turning documents into queryable graphs.

Tutorials 11 min read

How to Build a Knowledge Graph From PDFs

From raw PDFs to a queryable graph in under an hour. Covers OCR fallback, layout-aware parsing, entity extraction, deduping, and Cypher loading — with real code.

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Concepts 9 min read

Cypher vs SPARQL: A Side-by-Side Look at the Two Major Graph Query Languages

Cypher and SPARQL are the two query languages every knowledge graph engineer eventually learns. We compare them honestly — syntax, ergonomics, expressive power, and the ecosystem around each.

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Tutorials 10 min read

How to Extract Entities From Documents (NER in 2026)

spaCy, GLiNER, or Claude? A practical guide to picking and tuning a named entity recognition pipeline, with code, accuracy numbers, and gotchas.

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Tutorials 9 min read

From Notes to Knowledge Graph: Turning Markdown Into a Graph

Your note-taking app already stores a graph — you just cannot query it. Here is how to lift Markdown notes into a real graph database with proper schema and search.

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Tutorials 10 min read

Knowledge Graph Schema Design: A Practical Guide

Schema is what separates a useful graph from a hairball. Learn how to pick node types, edge types, properties, and indexes — and what to do when the schema needs to evolve.

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Concepts 10 min read

Knowledge Graph Database Comparison: Neo4j, FalkorDB, Neptune, and More

Picking a graph database is the single most consequential choice in a knowledge graph project. We compare the six platforms that show up in real procurement processes, with version numbers, query languages, and benchmark notes.

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AI & Agents 10 min read

Knowledge Graphs for AI Agents: Memory, Tools, and Grounded Reasoning

Agents that only have a vector store as memory get lost on long horizons. Agents with a knowledge graph have a map — typed entities, typed edges, and a substrate they can plan over.

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Legal 10 min read

Knowledge Graphs for Legal Research: From Citator to Connected Map

Westlaw and LexisNexis index millions of cases, but a citator is a list, not a map. Knowledge graphs let legal teams traverse the relationships between cases, parties, judges, statutes, and arguments.

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Medical & Research 9 min read

Knowledge Graphs for Medical Literature: From PubMed Sprawl to a Curated Map

PubMed indexes 35M+ citations and adds roughly a million per year. Reading them is impossible; querying them as a graph is feasible.

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Tutorials 10 min read

Using a Knowledge Graph for Personal Knowledge Management (PKM)

Notion gives you pages. Obsidian gives you links. Neither lets you query 'every project I worked on with X using Y'. Here is how to build a PKM that does.

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SEO 10 min read

Knowledge Graph SEO: How Entity-Based Search Reshaped Optimization

Google announced its Knowledge Graph in 2012 — a shift from indexing strings to indexing things. Modern SEO is mostly the practical fallout of that shift.

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Teams & Knowledge 9 min read

Knowledge Graph Use Cases for Teams: Turning Tacit Knowledge Into Shared Maps

Most team knowledge dies in Slack threads and Google Docs that nobody re-reads. A knowledge graph is the cheapest way to turn that exhaust into a navigable map the whole team can query.

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Concepts 8 min read

Knowledge Graph vs Ontology: A Practical Distinction

An ontology is a schema for meaning; a knowledge graph is a populated dataset that follows that schema. Mixing them up leads to projects that either drown in formalism or never grow past a prototype.

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Concepts 9 min read

Knowledge Graph vs RDF: Two Things People Keep Confusing

RDF is a way to write down a graph; a knowledge graph is what you populate with actual facts. The W3C stack is one option for storing one. Property graphs are another. The choice has real consequences.

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Concepts 9 min read

Named Entity Recognition Explained: From Stanford NER to BERT and LLMs

Named Entity Recognition is the unglamorous step that decides whether your knowledge graph is useful. From Stanford NER's CRFs to BERT to LLMs, the techniques have shifted, but the failure modes have not.

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AI & RAG 9 min read

RAG with Knowledge Graphs: Why GraphRAG Beats Vector-Only Retrieval

Vector RAG retrieves passages by similarity. Graph RAG retrieves entities and the relationships between them — unlocking multi-hop questions that pure embeddings cannot answer.

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Tutorials 9 min read

How to Visualize a Knowledge Graph

Force-directed for under 1K nodes. WebGL for under 100K. Aggregation for anything bigger. Here is how to pick a layout, a library, and survive when the graph is too large to draw.

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Concepts 9 min read

What Is a Knowledge Graph? Definitions, History, and Why It Matters

Knowledge graphs are not just diagrams. They are typed, queryable networks of entities and relationships, with a long lineage in semantic web research and a very recent surge in AI use.

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Concepts 10 min read

What Makes a Good Knowledge Graph? Six Properties That Separate Useful from Useless

Most teams' first knowledge graph is a 'pile of triples'. The good ones share six concrete properties — and skipping any of them is the difference between a queryable asset and a write-only data swamp.

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Tutorials 9 min read

Wikidata vs Custom Knowledge Graph: Which Should You Build On?

Wikidata is free, huge, and structured — and a terrible fit for many domain knowledge graphs. Here is when to extend Wikidata, when to build from scratch, and when to do both.

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Tutorials 5 min read

How to Turn a PDF Into a Knowledge Graph

Upload any PDF and let AI extract people, organizations, concepts, and their relationships into a visual knowledge graph you can explore and edit.

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