Xenith RAG
Private knowledge retrieval at enterprise scale.
Xenith RAG connects your private data to an LLM with hybrid retrieval, re-ranking, and accuracy evaluation from day one. We ingest your documents, tune retrieval, benchmark answers, and hand over a working system with citations.
Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.
What a typical engagement delivers
- Your document archive ingested and indexed
- Hybrid search live and returning accurate results
- Accuracy benchmarked against 50 real queries from your team
- Admin panel for adding, removing, and updating documents
Typical deploy: 3 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 document archive ingested and indexed
Hybrid search live and returning accurate results
Accuracy benchmarked against 50 real queries from your team
Admin panel for adding, removing, and updating documents
API endpoint your applications can query immediately
How it works
- Hybrid search combining vector similarity and BM25 keyword for best of both worlds
- Cross-encoder re-ranking for precision that basic RAG can't match
- Multi-format ingestion: PDF, Word, HTML, Notion, Confluence, SharePoint
- Real-time index updates: add a document and it's searchable in seconds
- Accuracy evaluation dashboard with retrieval and generation scores