Search engineering, vector databases and graphs
The underlying infrastructure that makes corporate generative AI possible.
Vector databases, complex RAG architectures, graph databases.
What it solves
Traditional relational databases cannot search by 'context' or understand complex relationships. We implement vector databases (for semantic similarity search) and graph databases (to understand hidden relationships), providing the technological foundation for knowledge discovery.
Where it applies
Defence & Aerospace
- On-premise
- Classified environment
- No route out
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Do you have a search engineering, vector databases and graphs case?
Whether you master the application of AI or your goal is to innovate knowing your market, together we chart the path forward.
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