KnodeGraph Use Cases
Five real-world contexts where KnodeGraph turns piles of documents into navigable knowledge graphs. Each use case below has its own dedicated workflow, recommended templates, and citable data on why graph-based knowledge work outperforms folder-and-search workflows. KnodeGraph runs on Pro at $14.99/mo with a free tier sufficient to evaluate any of these five use cases on a real document set.
Research
Map citations, methods, and findings across hundreds of papers into a single navigable graph.
Read more →Legal
Map statutes, case law, parties, and clauses across thousands of pages into a precedent graph.
Read more →Medical
Build drug-interaction, symptom, and trial graphs from PubMed PDFs and clinical guidelines.
Read more →Business Intelligence
Map customers, products, suppliers, and contracts across reports, decks, and CRM exports.
Read more →Journalism
Map sources, entities, money flows, and timelines across leaks and public records into one graph.
Read more →Why a knowledge graph beats a folder of PDFs
A folder of PDFs is searchable, but search only retrieves the document — not what's inside it. A graph captures the entities (people, organisations, theories, events, drugs, statutes) and the relationships between them, so the question 'how is X connected to Y across these 200 documents?' becomes a one-second visualisation instead of an afternoon of grep-and-skim. Researchers, lawyers, journalists, BI analysts, and clinicians all run into this same wall — the source material is plentiful but the connective tissue is invisible until you build the graph.
KnodeGraph automates the extraction step. Claude reads each document and proposes the entities and relationships it found; you review them in a staging UI, merge duplicates, reject hallucinations, and approve the rest. The approved subgraph is yours, with full provenance back to the source document and page. There is no NLP pipeline to build, no Python to write, no graph-database admin to configure. Across the five use cases on this page — research literature, legal matters, medical guidelines, business intelligence, and investigative journalism — the same workflow applies; only the templates differ.
Pricing is structured so individual professionals can self-serve: free tier with 3 graphs and 100 nodes for a real evaluation, Pro at $14.99/mo with 50K nodes for working volume. Self-host plans for regulated material (privileged legal work, PHI, classified material) deploy inside your own VPC with your own Anthropic API key.
Frequently Asked Questions
Which use case is the easiest place to start with KnodeGraph?
Research and journalism are the most direct fits — both routinely involve unstructured PDF and document piles where the value is in spotting connections. Teams new to graph thinking often pick a single 30-document corpus, run extraction, and walk the result before scaling up. The free tier is enough to test that pattern end to end.
Do I need to know graph theory to get value from KnodeGraph?
No. The visual editor and template-driven extraction make KnodeGraph approachable without any graph background. You drop in documents, pick a template, review the extracted entities and relationships, and walk the resulting graph in the browser. Cypher and the FalkorDB layer are there if you ever want them; most users never touch them.
Can the same KnodeGraph account cover multiple use cases?
Yes. Each project is its own graph, so a freelancer can have a research graph, a journalism investigation graph, and a BI graph in parallel without cross-contamination. Pro tier gives you unlimited graphs; the free tier caps at three, which is enough to evaluate the workflow on more than one use case.
How accurate is the AI extraction across these use cases?
Extraction quality varies by domain. In our internal testing on similar content: explicit named entities (people, organisations, drugs, statutes) extract at 88-95% precision. Implicit relationships (causes, contradicts, replaces) sit closer to 60-75% — the staging review workflow exists exactly to catch the false positives before they hit your graph. Plan on a curation pass; budget about 20-30 minutes per 50-document batch.
Ready to Try KnodeGraph?
Start free with 3 graphs and 100 nodes. Upgrade to Pro for AI extraction, unlimited graphs, and 50K nodes.
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