6 papers
Do Data Agents Need Semantic Metadata? A Comparative Study in Agentic Data Retrieval
Shiyu Chen, Tarfah Alrashed, Alon Halevy +1
In the era of autonomous agents, machine-actionable data is critical for data-driven workflows. For more than a decade, semantic metadata like schemaorg has anchored the FAIR pr…
An Agentic Approach to Metadata Reasoning
Jiani Zhang, Sercan O. Arik, Cosmin Arad +2
As LLM-driven autonomous agents evolve to perform complex, multi-step tasks that require integrating multiple datasets, the problem of discovering relevant data sources becomes a k…
100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models
Yeounoh Chung, Rushabh Desai, Jian He +9
Several data warehouse and database providers have recently introduced extensions to SQL called AI Queries, enabling users to specify functions and conditions in SQL that are evalu…
Leveraging LLMs to Create Content Corpora for Niche Domains
Franklin Zhang, Sonya Zhang, Alon Halevy
Constructing specialized content corpora from vast, unstructured web sources for domain-specific applications poses substantial data curation challenges. In this paper, we introduc…
The Cambridge Report on Database Research
Anastasia Ailamaki, Samuel Madden, Daniel Abadi +43
On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challe…
CoddLLM: Empowering Large Language Models for Data Analytics
Jiani Zhang, Hengrui Zhang, Rishav Chakravarti +6
Large Language Models (LLMs) have the potential to revolutionize data analytics by simplifying tasks such as data discovery and SQL query synthesis through natural language interac…