CASE STUDYAI SYSTEM
Enterprise Knowledge Engine
A retrieval system that answers a corporate team's questions from its own documents, in seconds, with sources.
THE CHALLENGE
A large organization kept its knowledge in scattered documents, policies, and archives. Staff spent hours searching, asked colleagues the same questions again and again, and answers depended on who happened to be at their desk.
WHAT WE BUILT
- Ingestion of internal documents into a searchable, permission-aware knowledge base
- Retrieval-augmented answers that cite the exact source document for every claim
- Bilingual questions and answers, Arabic and English, in a familiar chat interface
- Access control so every user sees only what their role allows
WHAT CHANGED
The engine was built and demonstrated to management as the path to company-wide rollout. Details are anonymized at the client's request. The same architecture powers the knowledge engines Wolvara now builds for businesses.
STACK
Retrieval-augmented generation on Claude, vector search, permission-aware indexing, secure internal deployment.