FintechME
Challenge
A regulated team needed Arabic RAG with strict data residency and bilingual support.
Solution
Delivered an on-prem Llama-based stack with hybrid retrieval, evals and guardrails.
Outcome
Private deployment with bilingual answer quality
The brief
A regulated team needed Arabic RAG with strict data residency requirements and bilingual support for real operational use.
What we changed
We delivered a privately deployed Llama-based stack with hybrid retrieval, evaluations and guardrails tuned for the team's data constraints.
Delivery shape
- Privately deployed open-model stack
- Hybrid retrieval architecture
- Arabic and English answer handling
- Guardrails and evaluation workflow
Rollout notes
- Kept sensitive data off external model infrastructure
- Validated answer quality against bilingual use cases
- Aligned deployment with regulated-team constraints
Outcome
The result was a private deployment model with better bilingual answer quality and stronger internal trust.
#RAG#Arabic#On-prem
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