Aug 2026· Proceedings of the VLDB Endowment· Vol 19, pp. 4758-4761· 0 citations· 13 references
TL;DR
ChatQPT is presented, a novel system that enables chat-based interactions with a relational query engine (PostgreSQL) that combines an LLM-powered interface with a set of specialized external tools tailored to understand various aspects of relational query processing.
Abstract
Imagine a scenario where we could communicate with a relational query processor through messaging platforms like
WeChat
or
WhatsApp
, asking questions related to query processing and optimization. If realized, such a tool could prove invaluable in database education and administration, among others. In this demonstration, we present ChatQPT, a novel system that enables chat-based interactions with a relational query engine (PostgreSQL). It
combines
an LLM-powered interface with a set of specialized external tools tailored to understand various aspects of relational query processing, effectively addressing the shortcomings of both large language models and off-the-shelf RDBMSs in supporting accurate and effective conversations. Our preliminary evaluation through a user study demonstrates the promising capabilities of ChatQPT.
This paper explores the practical implementation of a Chatbot designed to connect natural language communication with database interactions by generating Structured Query Language (SQL) queries through the utilization of OpenAPI, with potential implications for improving human-computer interactions within database syst...
R. Santosa, Hartantya Ainiyatuts Tsaniyah, Yoga Ari Tofan et al.· IPTEK: The Journal for Techn...· 0 citations
Abstract We argue, in this column, for a problem-first approach to generative AI adoption in libraries. Using a searchable FAQ system and archival finding aids as contrasting cases, we distinguish between bounded retrieval tasks and exploratory discovery. The FAQ case shows how generative AI can improve metadata withou...
Russell Michalak, Adriel Raman· Journal of Library Administr...· 0 citations
An evaluation paradigm that assesses model responses along three criteria grounded in cooperative response theory is designed, suggesting pragmatic redirection is a fundamentally underdeveloped capability in current LLMs.
Akhila Yerukola, Jena D. Hwang, Ming-Qian Zheng et al.· 1 citation
This work proposes a novel training-free method that generates a very large number of queries with minimal LLM usage by compositionally combining a small set of atomic components and applies LLM reasoning to construct a high-quality document set that balances precision and recall while capturing the user's core intent.
Yunah Jang, Kang-il Lee, Joongbo Shin et al.· 0 citations
Artificial intelligence (AI) chatbots powered by natural language processing (NLP) have transformed human-computer interaction across sectors such as e-commerce, healthcare, and customer service. This paper reviews the evolution of chatbot technology, with a particular focus on the components that constitute modern sys...
S. Nalawade, H. Tapase, Shreya Jadhav· Journal of Big Data Technolo...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
