Knowledge Graph Builder
Create a structured knowledge graph of your company content. The agent connects entities, relationships, and facts for optimal AI comprehension.
+420%
Entity recognition
1000+
Linked entities
100%
Schema compliance
Auto
Synchronization
About this Solution
How does the Knowledge Graph Builder work?
The Knowledge Graph Builder transforms your unstructured company information into a machine-readable knowledge network. This network helps LLMs understand your content, correctly link it, and cite it precisely.
The agent analyzes your website, documentation, product databases, and other content sources. It identifies entities (products, people, concepts), their properties, and relationships between them. This creates a dynamic knowledge graph.
This graph is automatically exported to Schema.org markup, JSON-LD, and other machine-readable formats. LLMs can thus better understand your information and place it in context — the foundation for accurate AI answers.
Features
What this agent can do
Automatic Entity Extraction
AI-powered recognition of products, people, organizations, concepts, and their relationships.
Relationship Mapping
Visualization and structuring of connections between entities for context-rich AI understanding.
Schema.org Export
Automatic generation of structured data in JSON-LD, Microdata, and RDFa formats.
Consistency Check
Detection of contradictions, outdated information, and missing links in the knowledge graph.
Examples
How it works in practice
Structuring product catalog
A manufacturer with 500 products in various categories wants LLMs to give correct product recommendations.
The agent creates a product knowledge graph with categories, specifications, compatibilities, and use cases — LLMs now understand the relationships and can recommend precisely.
Documenting company expertise
A consulting firm wants their experts and specialties to be correctly attributed in AI answers.
Knowledge graph links consultants with specialties, publications, projects, and certifications. For relevant questions, the right experts are mentioned.
Networking FAQ knowledge
A SaaS provider has hundreds of FAQ articles, but LLMs cannot understand the relationships.
The agent extracts concepts, links related questions, and creates a semantic structure. AI assistants can now answer complex questions with context.
FAQ
Frequently Asked Questions
What is a knowledge graph?
Which content sources can be used?
How is the knowledge graph kept current?
Does this work for multilingual content?
Interested in this solution?
Let's discuss how the Knowledge Graph Builder can structure your company knowledge.