IndicDB -- Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages
Factual evidence
What the source reports
IndicDB is a new benchmark for evaluating Text-to-SQL performance of LLMs in Indian languages using real-world schemas.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 4 November 2026
- Collected by OneBench
- 16 Apr 2026, 11:36 UK
Stored source excerpt
arXiv:2604.13686v1 Announce Type: new Abstract: While Large Language Models (LLMs) have significantly advanced Text-to-SQL performance, existing benchmarks predominantly focus on Western contexts and simplified schemas,…
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OneBench interpretation
Institutional assessment
So what
This benchmark highlights the critical need for LLM evaluation beyond Western contexts and simplified schemas, directly impacting G-SIBs with expanding operations or customer bases in diverse linguistic markets.
Do what
Your data strategy for LLM deployments in non-English speaking regions, particularly India, must now account for specialized performance benchmarks and potential model fine-tuning requirements.