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arXiv · 2601.19825

Routing End User Queries to Enterprise Databases

Saikrishna Sudarshan·Tanay Kulkarni·Manasi Patwardhan·Lovekesh Vig·Ashwin Srinivasan·Tanmay Tulsidas Verlekar
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Abstract

We address the task of routing natural language queries in multi-database enterprise environments. We construct realistic benchmarks by extending existing NL-to-SQL datasets. Our study shows that routing becomes increasingly challenging with larger, domain-overlapping DB repositories and ambiguous queries, motivating the need for more structured and robust reasoning-based solutions. By explicitly modelling schema coverage, structural connectivity, and fine-grained semantic alignment, the proposed modular, reasoning-driven reranking strategy consistently outperforms embedding-only and direct LLM-prompting baselines across all the metrics.

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Saikrishna Sudarshan, Tanay Kulkarni, Manasi Patwardhan, Lovekesh Vig, Ashwin Srinivasan, Tanmay Tulsidas Verlekar. 2026-01-27. Routing End User Queries to Enterprise Databases. https://arxiv.org/abs/2601.19825

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