Tursio for Credit Unions: Structured Data Search with Automated Context Graphs
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866918382929969152 |
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| author | Tripathi, Shivani Shetye, Ravi Qiao, Shi Jindal, Alekh |
| author_facet | Tripathi, Shivani Shetye, Ravi Qiao, Shi Jindal, Alekh |
| contents | Extracting actionable insights from structured databases in regulated industries, such as credit unions, is often hindered by complex schemas, legacy systems, and stringent data governance requirements. We present Tursio, a secure, on-premises, database search platform that enables business users to query enterprise databases using natural language. Tursio automatically infers a context graph -- a schema-level metadata structure that captures join paths, column semantics, and domain annotations -- and uses it to systematically generate accurate query plans through LLM-assisted compilation, grounding, and rewriting. Unlike existing AI/BI tools that require extensive manual context curation, Tursio automates this end-to-end and deploys entirely on-premises. We demonstrate Tursio through realistic scenarios in the credit union domain, and discuss its applicability to other regulated settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_07304 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Tursio for Credit Unions: Structured Data Search with Automated Context Graphs Tripathi, Shivani Shetye, Ravi Qiao, Shi Jindal, Alekh Databases Extracting actionable insights from structured databases in regulated industries, such as credit unions, is often hindered by complex schemas, legacy systems, and stringent data governance requirements. We present Tursio, a secure, on-premises, database search platform that enables business users to query enterprise databases using natural language. Tursio automatically infers a context graph -- a schema-level metadata structure that captures join paths, column semantics, and domain annotations -- and uses it to systematically generate accurate query plans through LLM-assisted compilation, grounding, and rewriting. Unlike existing AI/BI tools that require extensive manual context curation, Tursio automates this end-to-end and deploys entirely on-premises. We demonstrate Tursio through realistic scenarios in the credit union domain, and discuss its applicability to other regulated settings. |
| title | Tursio for Credit Unions: Structured Data Search with Automated Context Graphs |
| topic | Databases |
| url | https://arxiv.org/abs/2603.07304 |