collaborators

6 papers

cs.DB2026

Tursio Database Search: How far are we from ChatGPT?

Sulbha Jain, Shivani Tripathi, Shi Qiao +1

Business users need to search enterprise databases using natural language, just as they now search the web using ChatGPT or Perplexity. However, existing benchmarks -- designed for…

cs.DB2026

Tursio for Credit Unions: Structured Data Search with Automated Context Graphs

Shivani Tripathi, Ravi Shetye, Shi Qiao +1

Extracting actionable insights from structured databases in regulated industries, such as credit unions, is often hindered by complex schemas, legacy systems, and stringent data go…

cs.DB2026

Scalable Join Inference for Large Context Graphs

Shivani Tripathi, Ravi Shetye, Shi Qiao +1

Context graphs are essential for modern AI applications including question answering, pattern discovery, and data analysis. Building accurate context graphs from structured databas…

cs.DB2026

Making Databases Searchable with Deep Context

Alekh Jindal, Shi Qiao, Shivani Tripathi +15

Databases are the most critical assets for enterprises, and yet they remain largely inaccessible to people who make the most important decisions. In this paper, we describe the Tur…

cs.DB2025

Prompt Migration: Stabilizing GenAI Applications with Evolving Large Language Models

Shivani Tripathi, Pushpanjali Nema, Aditya Halder +2

Generative AI is transforming business applications by enabling natural language interfaces and intelligent automation. However, the underlying large language models (LLMs) are evo…

cs.DB2025

Searching Clinical Data Using Generative AI

Karan Hanswadkar, Anika Kanchi, Shivani Tripathi +3

Artificial Intelligence (AI) is making a major impact on healthcare, particularly through its application in natural language processing (NLP) and predictive analytics. The healthc…