Knodegraph is a knowledge graph builder that lets you upload documents and automatically extract entities and relationships using AI. You can also build graphs manually with a drag-and-drop editor.

How much does Knodegraph cost?

Knodegraph has a free tier with 3 graphs and 100 nodes per graph. The Pro plan is $14.99/month and includes unlimited graphs, 50,000 nodes, NLP extraction, multilingual support, and API access.

What languages does Knodegraph support?

Knodegraph supports over 100 languages for entity extraction, including English, Arabic (with full RTL support), French, Spanish, German, Chinese, Japanese, and many more.

Is my data secure on Knodegraph?

Yes. Knodegraph uses per-user data isolation, meaning your knowledge graphs are completely separate from other users. All data is stored on secure, self-hosted infrastructure with encrypted connections.

How does AI extraction work?

Upload any document and Knodegraph uses Claude AI to identify entities (people, organizations, locations, concepts) and the relationships between them. Extracted data is staged for your review before being added to your graph - you always have final control.

Can I export my knowledge graphs?

Yes. Free users can export to PNG, SVG, JSON, and CSV. Pro users additionally get access to JSON-LD, RDF, and Neo4j export formats.

KnodeGraph vs Neo4j (2026)

Verdict

Choose Neo4j when you need a production graph database: Cypher queries, ACID transactions, graph algorithms, and scale to billions of nodes behind an application. Choose KnodeGraph when you want a knowledge graph from documents without writing code — AI extraction, visual editing, and review built in. One is infrastructure; the other is a finished application.

Last updated: June 10, 2026

At a Glance

KnodeGraph

Best for: Turning document collections into typed, editable knowledge graphs with AI extraction

Pricing: Free $0/mo (3 graphs, 100 nodes, 5 AI doc extractions/mo); Pro $14.99/mo (unlimited graphs, 50K nodes, 50 extractions/mo, API)

https://knodegraph.com/

Neo4j

Best for: Development teams building graph-powered applications at production scale

Pricing: AuraDB Free $0 (up to 200K nodes); Aura Pro from $65+/mo; self-hosted Community Edition free

https://neo4j.com/

KnodeGraph vs Neo4j: Side-by-Side

	KnodeGraph	Neo4j
Product category	Knowledge graph SaaS (application)	Graph database (infrastructure)
Setup	Sign up and upload a document	Provision an Aura instance or install/self-host
Skills required	None — visual interface	Cypher query language; data modeling; usually a developer
Document-to-graph	Built-in Claude AI extraction with staged review	None — bring your own NLP/ETL pipeline
Graph editing	Visual canvas editor with undo/redo	Cypher writes; Bloom is a read-only visualization layer
Query power	Visual filters + natural language	Full Cypher, APOC procedures, Graph Data Science library
Max scale	50,000 nodes per graph (Pro)	Billions of nodes; clustering and ACID transactions
Application integration	REST API on Pro	Official drivers for Java, Python, JS, Go, .NET and more
Ecosystem	Young, focused product	Largest graph-database community, docs, and tooling
Pricing	$0 free tier; $14.99/mo Pro	AuraDB Free $0 (200K nodes); Aura Pro $65+/mo

Infrastructure vs Application

Neo4j is the most widely adopted graph database in the world. It gives developers Cypher (a declarative graph query language), ACID transactions, official drivers in every major language, the Graph Data Science library for algorithms like PageRank and community detection, and managed hosting through AuraDB. It is infrastructure: enormously capable, and assuming a developer is at the keyboard.

KnodeGraph is an application built on top of a graph database (FalkorDB, which also speaks Cypher under the hood). You never see the database. You upload documents, Claude AI extracts entities and relationships, you review them in a staging area, and you explore the result on an interactive canvas. The entire Cypher-and-ETL layer that Neo4j expects you to build is the product.

That framing settles most of the comparison up front: the two tools rarely compete for the same buyer. The honest question is not which is better but which layer of the stack your problem lives in — and whether anyone on your team writes code.

Where Neo4j Wins

If you are building software, Neo4j is the serious choice and KnodeGraph is not a candidate. Neo4j handles billions of nodes, concurrent users, transactions, and complex multi-hop queries that power recommendation engines, fraud detection, and network analysis in production. KnodeGraph caps at 50,000 nodes per graph and is not designed to be an application backend.

Cypher itself is a win for anyone willing to learn it: arbitrary graph patterns, aggregations, and algorithmic queries far beyond what any visual interface can express. Add the Graph Data Science library, vector indexes for GraphRAG workloads, and the largest graph community and documentation base in the industry, and Neo4j's depth is unmatched.

Neo4j's free options are also generous for developers: AuraDB Free runs up to 200K nodes managed in the cloud, and the self-hosted Community Edition is free with no node ceiling.

Where KnodeGraph Wins

Neo4j has no built-in way to turn a PDF into a graph. Teams routinely spend weeks wiring up NLP pipelines, entity resolution, and import scripts before the first useful graph appears. KnodeGraph collapses that to minutes: upload, extract, review, done — in 100+ languages including Arabic.

Editing is the other gap. Neo4j Bloom is a read-only visualization layer; changing the graph means writing Cypher. KnodeGraph gives non-developers a real visual editor — add, rename, merge, and delete nodes and relationships directly on the canvas with full undo/redo.

For an individual researcher or analyst, the economics are different too: KnodeGraph Pro at $14.99/mo includes the AI extraction, while Aura Pro starts at $65+/mo and still leaves the extraction pipeline to you.

Pricing Compared

Neo4j AuraDB has a free managed tier up to roughly 200K nodes, with Aura Pro starting around $65+/mo for production workloads. Self-hosting the Community Edition is free but puts backups, upgrades, and operations on you.

KnodeGraph is $0 on the free tier (3 graphs, 100 nodes each, 5 extractions/month) and $14.99/mo on Pro (unlimited graphs, 50K nodes per graph, 50 extractions/month, API access). Note the free-tier asymmetry: Neo4j's free tier allows far more raw nodes, but you must write Cypher and build extraction yourself to fill them.

Which Should You Choose?

Choose Neo4j if you have a development team and the graph is part of your product or data platform — there is no real substitute at that altitude, and KnodeGraph does not pretend to be one.

Choose KnodeGraph if the goal is knowledge work: mapping the entities and relationships inside a corpus of documents, without standing up infrastructure, modeling a schema, or learning Cypher first.

The two also chain well: extract and curate in KnodeGraph, export JSON or CSV, and import into Neo4j when the graph needs to graduate into production queries, algorithms, or an application backend.

Frequently Asked Questions

Can KnodeGraph replace Neo4j as an application backend?

No. KnodeGraph is a knowledge-graph application for research and analysis, not a general-purpose database. If you need transactions, concurrent application traffic, and custom Cypher queries, use Neo4j.

Do I need to know Cypher to use KnodeGraph?

No. KnodeGraph uses FalkorDB (Cypher-compatible) internally, but you interact through a visual editor and natural-language queries. Neo4j requires Cypher for any non-trivial create or query operation.

How do the scale limits compare?

KnodeGraph Pro supports up to 50,000 nodes per graph — ample for document-derived knowledge graphs. Neo4j scales to billions of nodes with clustering, which is what production application workloads require.

Can I move a KnodeGraph graph into Neo4j later?

Yes. Export your curated graph as JSON or CSV from KnodeGraph and import it into Neo4j with LOAD CSV or the import tools. Extract and review in KnodeGraph; operate at scale in Neo4j.

Does Neo4j include AI entity extraction?

Not built in. Neo4j provides the database and algorithms; extraction requires external NLP tooling or custom pipelines. KnodeGraph ships Claude-powered extraction with human review as a core feature.

Ready to Build Your Knowledge Graph?

Start with the free tier -- 3 graphs, 100 nodes, full visual editing. No credit card required.

Get Started Free