Xenith Search
AI-native semantic search for any data.
Keyword search returns documents that contain the words. Xenith Search returns documents that answer the question. We connect to your data, build the semantic index, tune relevance for your content, and hand you an API your applications can call on day one.
Weaviate / Qdrant vector store, managed and optimised by Xenqube
Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.
What a typical engagement delivers
- Your catalogue or document corpus indexed and searchable
- Search API live and responding to natural language queries
- Relevance tuned against your real content
- Analytics dashboard showing search patterns from day one
Typical deploy: 2 weeks - built into your environment, handed over as a production system.
What's included
Typical engagement deliverables
Scoped to your stack and compliance needs. We deploy the working system into your environment and hand over runbooks - not a sandbox login.
Your catalogue or document corpus indexed and searchable
Search API live and responding to natural language queries
Relevance tuned against your real content
Analytics dashboard showing search patterns from day one
Embed code or SDK ready for your front-end team
How it works
- Natural language queries so users ask questions, not keywords
- Multi-modal search across text and images from the same index
- Federated search: one query searches across multiple disconnected systems
- Personalised ranking that learns from click behaviour
- Analytics dashboard: what people search, what they click, what they don't find