Semantic AI Architecture
Large Language Models are powerful but unreliable without structured knowledge. Our Semantic AI Architecture combines ontologies and knowledge graphs with LLMs to create AI systems that are accurate, explainable, and governable. We build the semantic layer that grounds generative AI in your organisation's actual knowledge.
“Semantic Partners is a trusted partner whose deep semantic and knowledge graph expertise consistently strengthens the data foundations we build for our clients.”
Abhishek Jalandhara
Director of Data Analytics/AI
Cognizant
What's included
- RAG + Knowledge Graph hybrid architecture
- LLM grounding and context injection
- Agentic AI with semantic reasoning
- Explainability through formal semantics
- Prompt engineering with ontological context
Business impact
- Reduce LLM hallucination by up to 73%
- Make AI responses explainable and auditable
- Ground generative AI in verified organisational knowledge
- Enable agentic AI workflows with semantic reasoning
- Meet regulatory requirements for AI governance
Our process
A proven methodology refined across dozens of enterprise engagements.
AI Landscape Assessment
Evaluating your current AI initiatives, data assets, and identifying where semantic grounding will have the highest impact.
Architecture Design
Designing the RAG + Knowledge Graph hybrid architecture, including retrieval strategies, context injection, and reasoning pipelines.
Semantic Layer Build
Implementing the ontology-driven knowledge layer that grounds LLM responses in your organisation's verified data.
Integration & Validation
Connecting to your LLM infrastructure, testing response accuracy, and validating explainability against compliance requirements.
Production & Governance
Deploying with monitoring, feedback loops, and governance dashboards for ongoing quality assurance.
Frequently asked questions
Ready to get started?
Book a 30-minute consultation to discuss how semantic ai architecture can accelerate your semantic technology programme.