See the links. Trust the outputs.
Knowledge graphs ground facts, visualization exposes patterns, and LLMs automate reasoning – only the trio unlocks end-to-end value from large data.
77% say AI visualization is the most needed capability – because readability and de-crossing links are the biggest pain in complex graphs.
Experts expect graphical interfaces to coexist with text/audio prompts, and note that visualization helps detect AI hallucinations – critical when decisions ride on LLM outputs.
can’t close alone
can’t close alone
Biggest challenges are data privacy, slow responses, and inaccurate outputs. Knowledge graphs provides structure, visualization brings oversight, LLM adds reasoning/automation – together they reduce risk and accelerate outcomes.
Your LLM has the answers. Knowledge graph visualization reveals them.
LLM generates valuable insights, but they're scattered across thousands of text responses. With visual mapping, and custom set of rules you won’t miss any connections that could transform your strategy.
RAG fragments
See how concepts connect across your entire knowledge base, not just isolated snippets. Knowledge graphs don't stop at just retrieving chunks - they map relationships between them.
Graph visualization exposes data quality issues instantly. Spot inconsistencies, duplicates, and gaps before they contaminate your model outputs.
Transform embedding spaces and decision paths into interactive visualizations. Technical teams debug faster. Executives see proof. Trust follows naturally.
of thousands of nodes without hitting performance walls
Custom optimized rendering engine processes enterprise-scale graphs that crash standard tools. Navigating massive datasets can be as smooth as small prototypes.
LLM data visualized and transformed into actionable intelligence
Explore the opportunities from custom knowledge graph platforms that convert the abstract complexity of your data or your already implemented LLM into a clear, interactive, and fully navigable environment.
End-to-end LLM knowledge graph creation
For teams ready to implement intelligent data visualization with LLM automation:
- Complete knowledge graph architecturedesigned and built specifically for your data domain
- End-to-end data quality transformationclean structure, and raw data validated for LLM knowledge graph successful implementation
- LLM integration and automationyour own AI layer that extracts entities, discovers relationships, and enriches your graph
- Custom visual interfacescomplex data made explorable through intuitive drag-and-drop editors
Custom visualization for existing LLM systems
For teams with LLMs already in production who need better visibility:
- Seamless integration with your stackmodels, databases, and APIs adapted to your infrastructure without disrupting operations
- Advanced graph features and custom viewsfilter by properties, style nodes by type, collapse/expand clusters, group by relationships
- Interactive debugging interfacestrace reasoning paths, spot hallucinations, and optimize performance
- Real-time graph renderingenterprise-scale data handled from your current LLM outputs
- LLM faithfulness built on visual two-way verificationknowledge graphs feed reliable data to your LLM, while LLM outputs can be instantly validated against the graph
Your LLM stays unchanged. We add the visual intelligence layer that makes it understandable, actionable, and reliable.
GraphEditor lets teams upload data and explore complex relationships on an interactive graph, helping you validate the knowledge-graph approach fast.
Use GraphEditor.io for quick KG validations:
- Interactive graph explorationto understand complex relationships faster.
- Upload-and-goapproach for rapid trials and stakeholder demos.
- Perfect as apre-PoC stepbefore a tailored knowledge-graph + LLM solution.
- Backed by a team specializing in graph UIs and data visualization (custom delivery available).
Knowledge graph visualization powering the next LLM app generation
Custom visualization tools are mission-critical across a wide range of advanced AI applications.
- All-in-one knowledge hub - Access all data and connections through a single interface
- Intelligent recommendations - Leverage relationship data to suggest relevant content and generate dynamic outputs based on user context
- Context-aware intelligence - Understand how entities interconnect for more accurate responses
- Real-time updates - Track resource changes instantly for informed decisions
- Cost-effective operations - Streamline processes with interactive data models for faster decision-making
- Scalable architecture - User-friendly system that grows with your needs while keeping complex information organized
Trace the entire retrieval pipeline. See which documents are sourced, how chunks are ranked, and their influence on the final output to eliminate hallucinations.
Graphically map complex prompt chains, analyze token flow, and identify performance bottlenecks for systematic, repeatable optimization.
Automatically structure generated content, map relationships between topics, and build a dynamic, explorable knowledge base from your model’s outputs.
Accelerate discovery by mapping complex relationships between drugs, diseases, and genes as identified by your LLM from millions of research papers.
Detect fraud, analyze market sentiment, and visualize complex supply chains by connecting entities and events identified across vast financial documents.
Visualize conversation flows, map user
intent to the knowledge base, and debug your agent’s reasoning paths for a better user experience.
Partner with experts, not tools
Synergy Codes bridge the gap between complex artificial intelligence and human understanding with deep data visualization expertise.
→ understanding both business and technical needs proven across the most demanding industries and complex product ecosystems
Performance-tested
with 10K+ nodes
delivering scalable solutions across multiple technologies and frameworks
guiding digital product transformation for diagram-based user interfaces, as a trusted business ally
React Flow, GoJS, Angular expertise and beyond
proven experience integrating LLMs with graph visualization for automated insight discovery
Trusted by industry leaders
Commitment to quality and innovation has earned Synergy Codes the trust of leading data-driven teams.
While looking for a proficient service in creating graphical components, we wanted to work with experts that would advance our tool with exceptional UX and UI, which enabled us to win new deals with significant clients.
Synergy Codes is at the top of the charts regarding timeliness, accuracy, completeness, and budget compliance.
They're able to deliver our ideas creatively and efficiently with very few issues and defects.
FAQ
- Can I integrate your tool with my existing LLM and data stack?
Yes. Our platforms are model-agnostic and built with integration in mind. We provide robust APIs and work directly with your team to connect seamlessly with your existing LLM infrastructure, vector databases, and data pipelines.
- How do knowledge graphs improve the accuracy of information search through LLM?
Knowledge graphs provide LLMs with a connected network of facts, enabling more precise answers grounded in a broader data context. Instead of processing isolated text chunks, your model navigates through verified relationships, resulting in responses built on comprehensive understanding rather than pattern matching alone.
- How do knowledge graphs enable LLM to generate more logical and understandable explanations?
By analyzing data connections, relationships, and groupings within the graph, LLMs gain deeper contextual understanding. This structured approach allows models to trace reasoning paths step-by-step, producing explanations that follow clear logical progressions rather than non-transparent predictions.
- Can the tool validate data and detect anomalies?
Yes. Beyond structural graph analysis, our algorithms create rules modeling your data patterns, then identify nodes, connections, or clusters that deviate from these established norms. This automated validation ensures data quality while surfacing potentially valuable outliers or concerning inconsistencies.
- How do you handle large-scale knowledge graphs?
Performance is paramount. We utilize high-performance WebGL rendering engines and intelligent data virtualization techniques to ensure a smooth, interactive experience even with graphs containing millions of nodes and edges.
- How long does it take to build a custom solution?
The timeline depends on complexity and specific requirements. After an initial consultation, we provide a detailed project plan with clear milestones. A typical project ranges from a few weeks for proof-of-concept to several months for a full-featured platform.
Turn your LLM data into custom knowledge graph solution
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Maciej Teska
CEO at Synergy Codes