Obsidian Knowledge Graph:
Find the Gaps in Your Thinking

The only knowledge graph analysis tool based on network science. Available as Obsidian plugin or a web app for personal knowledge management.



 
Obsidian knowledge graph visualization with AI-powered text network analysis in InfraNodus

Build a Personal Knowledge Graph: From Notes to Insight

Visualize your Obsidian vault, Logseq graph, or RoamResearch notes as an interactive knowledge graph. InfraNodus shows both the [[backlink]] connections and automatically identified semantic relationships between your ideas — going far beyond the default graph view:


 
Personal knowledge graph visualization showing backlinks and semantic connections in an Obsidian vault
 

Unlike standard graph views, InfraNodus uses network science algorithms to detect structural gaps in your second brain — the blind spots between idea clusters. It then uses AI to help you bridge those gaps and generate new insight from your existing knowledge.

1. Import Your Obsidian
Knowledge Graph

Import your Obsidian vault, RoamResearch, or LogSeq graphs as MD (markdown) files. You can also import Evernote notes, paste text, or use [[wiki-links]] and the Zettelkasten method directly in InfraNodus.

2. Visualize Your Personal
Knowledge Graph

Our text network analysis algorithms identify and visualize the semantic relations between concepts in your notes. Combined with your [[backlinks]] and bi-directional links, you get a complete picture of your knowledge structure.

3. Generate AI Insights
from Your Graph

Identify the structural gaps in your knowledge graph — the blind spots between idea clusters. Use the built-in AI to generate research questions, facts, and new ideas that bridge those gaps and expand your second brain.



Multilingual

Use English, German, French, Russian, Spanish, Italian, Portugese, Swedish, Norwegian, Japanese, Chinese, etc.

Private & Exportable

All your data is private by default and you can export and download it any time in multiple formats.

Shareable in Hi-Res

You can link to your graphs, embed them to your website, and you can also download them in hi-res vector format.

Interactive Graphs

Use the network as a navigation tool through your knowledge. Explore every relation step by step, revealing its context.




Obsidian Knowledge Graph: Network Analysis Workflow

 

InfraNodus clusters your Obsidian notes into topical groups and ranks ideas by influence using betweenness centrality. See which concepts dominate your knowledge graph and which areas need more development.

Obsidian knowledge graph topical clusters and key concept identification

Reveal the blind spots in your second brain — topical clusters that should be connected but aren't. Use the built-in AI to generate research questions and ideas that bridge these structural gaps in your personal knowledge graph.

AI-powered gap detection and idea generation in Obsidian knowledge graph

Analyze specific slices of your vault: filter by #tags, bookmark groups, folders, or search results. Build focused knowledge graphs from any subset of your Obsidian notes for targeted analysis.

Filter Obsidian vault by tags and search results for focused knowledge graph analysis

Go beyond visual aesthetics with real network science metrics. InfraNodus provides community detection, betweenness centrality, and diversity scores — turning your graph view into an analytical tool for cognitive variability.

Network science analytics and graph metrics for Obsidian knowledge graph

Click any node on the graph to navigate directly to the related Obsidian page or find specific statements that match selected concepts. Use the knowledge graph as an interactive navigation layer for your vault.

Navigate Obsidian vault interactively using the knowledge graph view



What Else Can InfraNodus Do?

InfraNodus is not only a useful tool for building and analyzing your Obsidian knowledge graph. It is a powerful platform for research, marketing, SEO, and qualitative analysis — helping you see where to go next.

Use Case: Get an overview of any topic or document and discover unique insights



Problem: How can you go beyond generic AI insights?

Current AI tools offer generic summaries and shallow insights. They are designed to provide the most likely responses, not to explore new or overlooked perspectives.


 
Solution: AI-powered interactive knowledge graph for brainstorming and ideation

InfraNodus will represent any text as a network and use powerful graph analysis algorithms to identify and highlight the most influential keywords, topics, and their relations. You, the human, can work together with the built-in AI to see patterns, topical clusters, and — more importantly — reveal the blind spots between them.


Topical Overview Case Study    Try It Now

Use Case: Analyze your market and find untapped opportunities



Problem: The current patchwork of tools focuses on what's already there, not on what's missing

It's possible to track current trends and see what competitors are doing, but the more compelling question is what they haven't done yet—what ideas remain unexplored or untested.


 
Solution: Use InfraNodus to study what your competitors are talking about and what they are missing.

Using InfraNodus, you can import search results on a specific topic from Google or scientific databases to gain a clearer picture of what's already been done in the field. Then, analyze your competitors' websites and reports for a deeper look into their discourse. Finally, identify the gaps—the ideas everyone's talking about but no one's connecting.


Competitive Intelligence Case Study    Try It Now

Use Case: SEO and LLM Content Optimization



Problem: How to make sure your content is shown at the top of search / LLM results?

Everyone uses the same tools and competes for the same keywords. What's often missing is relational insight and a holistic understanding of the context.


 
Solution: Use InfraNodus to target the content gaps for maximum informational gain.

Visualize what people are searching for and compare it to what they find. Find the keyword relations that they are missing. Target those combinations to create high ranking content.

Analyze the content of search results and target the existing gaps with your content. Use the built-in AI to generate content ideas.

Keyword Research Case Study    Try It Now

Use Case: Qualitative research and thematic analysis of open-ended responses and customer reviews



Problem: Struggling to understand what your customers truly think?

Open-ended survey responses are difficult to analyze. Basic positive / negative categorizations fall short, and tag clouds often miss the context.


 
Solution: Uncover patterns in open-ended survey responses using network graphs.

InfraNodus visualizes customer feedback as a word graph, where words used within the same response are interconnected.

This representation will reveal the patterns and context in your customers' responses and reviews, allowing you to easily identify key topics as well as hidden relationships that other tools might miss.

Thematic Analysis Case Study    Try It Out

 



 


See a Demo Graph     Create Your Own

 



 


Obsidian Knowledge Graph Examples: Explore Real Second Brains

See how InfraNodus transforms personal knowledge graphs with AI-powered network science visualization.


We took publicly shared Obsidian, RoamResearch, and LogSeq knowledge graphs and visualized them with InfraNodus. Each example shows how text network analysis reveals connections invisible to standard graph views.

Accelerators and Venture Funds Mindmap
Hyperfine Village
Map
a RoamResearch graph by Lisa Hardy, 290 pages
Mind Map of Chinese Medicine
Fractal Networks Research
a LogSeq graph by Dmitry Paranyushkin, 79 pages
Graph nework visualization of news
Lorenz Duremdes' Second Brain
Obsidian graph of > 1800 pages, so takes longer to load, source: Github
Martin Luther King I have a dream text network visualization
Link Your Thinking (LYT) Graph
by Nick Milo, > 1200 pages so takes longer to load, source: LinkYouThinking




 

 
 
 
 

Start Using InfraNodus

Sign up for an account now, so you can get insight using this tool for your own data and texts.

How To Build a Better Obsidian Knowledge Graph with AI

Obsidian's default graph view shows note connections but lacks analytical depth. InfraNodus provides an AI-enhanced interactive knowledge graph that reveals the structure of your thinking, identifies content gaps, and helps you build a more connected second brain. Here's how it works:

1

1. Import Your Obsidian Vault or Create a Knowledge Graph

Import your Obsidian vault, Logseq, or RoamResearch markdown files to build a personal knowledge graph with InfraNodus. You can also import PDF documents, Evernote notes, or create a graph from scratch using the built-in editor with [[wiki-links]] support.

InfraNodus generates two layers simultaneously: your explicit backlinks and bi-directional connections, plus an AI-detected semantic network revealing hidden conceptual relationships between your notes.

Every concept becomes a node; every co-occurrence becomes a connection. Pages mentioned together are linked, creating a rich knowledge graph that goes beyond what Zettelkasten or standard graph views offer.

More in our Whitepaper
Create a Text Network Graph
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2. Apply Network Science and Text Mining Insights

The network will then be generated from the text or data you added. The most influential nodes (concepts and pages) in the graph have the highest betweenness centrality and are shown bigger on the graph. The nodes (concepts and pages) that occur more often in the same context are aligned into topical clusters and have distinct colors.

Force-atlas algorithm is applied to create a special representation of those topical groups and influential hubs. Graph analytics is provided on every aspect of the graph's structure and individual nodes' properties.

Overview Data with Text Network Visualization
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3. Generate AI Insights from Your Knowledge Graph

InfraNodus identifies the structural gaps in your personal knowledge graph: parts of your second brain that could be connected but aren't yet. These gaps represent opportunities for insight and discovery.

The built-in AI proposes different ways to bridge these gaps — generating research questions, facts, and creative ideas based on the specific structure of your knowledge. This makes your Obsidian vault an active thinking partner rather than a passive archive.

Export your enriched notes as markdown files and import them back into Obsidian, Logseq, or RoamResearch. The AI-augmented insights become part of your growing knowledge graph.

Generating Insight with Structural Gaps



Our Methodology in Detail

To learn more about the algorithms used in InfraNodus and for citations, please, refer to this peer-reviewed paper:

Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF).

If you want to know more about the algorithms used, here is the first paper we published on the subject:

Paranyushkin, D (2011). Identifying the pathways for meaning circulation using text network analysis, Nodus Labs. (Google scholar)


Become a Supporter!

InfraNodus is organic software and is developed without external funds or investors. We develop and maintain this tool and the associated research based on your contributions only. We believe it is a working model for crowdfunded software made by users for users.

You can support our work if you become a subscriber and get access to the cloud version or if you become our patron on Patreon. Enterpise, government, and educational versions are also available.

Pricing Options: Free 14-Day Trial

Your support is what makes it possible for us to develop this tool. All quotas are per each text. There is no limitation on the number of texts you can process every month. Prices do not include VAT for EU private customers.

Lock in current prices for life and save up to 35% (€100-€200) on our annual plans.

Monthly Annual Save up to 35%

 

 
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About InfraNodus: Our Philosophy

Gregory Bateson coined a beautiful term: "ecology of the mind". What is a mind that is ecological? It has the ability to have an overview, but it can also zoom into any idea. It embraces diversity, but it can also obsess over one thing when needed. It can discover the obvious, but it can also reveal the things that are hidden and ponder the gaps that have not yet been bridged. Rational and poetic.



InfraNodus is a tool that is developed to help you think this way. It is made to promote ecological dynamics and diversity on the cognitive level. InfraNodus visualizes and analyses ideas as a network, revealing the relations and patterns within them, so you can understand the dynamic complexity of how knowledge evolves and explore the nuances of meaning.

We believe that it is especially important today to make this kind of instrument available to everybody. That's why we develop InfraNodus so that it can be accessible to everyone, solely thanks to our users' monthly contributions and based on their feedback. This is not a start-up, in fact, it is more like the project of our lives. We don't have investors or an exit strategy. We are here to stay and to evolve.

We are constantly improving InfraNodus based on our users' feedback. We are also currently developing an API to make this way of thinking available to other applications and to enable the use of InfraNodus insights for machine learning and AI applications.

If you like our cause, please, sign up for an account and give it a try, support us on Patreon, or simply let us know that it resonates, because this is the best way to motivate each other.

Dmitry Paranyushkin, the founder

Cognitive Variability: Panarchic Thinking with InfraNodus


Panarchic thinking

 

 

 

Testimonials

InfraNodus is used by researchers, writers, marketing professionals and corporations. Here's what some of our supporters have to say: