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SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
March 14, 2024, 4:48 a.m. | Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Monica S. Lam
cs.CL updates on arXiv.org arxiv.org
Abstract: While most conversational agents are grounded on either free-text or structured knowledge, many knowledge corpora consist of hybrid sources. This paper presents the first conversational agent that supports the full generality of hybrid data access for large knowledge corpora, through a language we developed called SUQL (Structured and Unstructured Query Language). Specifically, SUQL extends SQL with free-text primitives (summary and answer), so information retrieval can be composed with structured data accesses arbitrarily in a formal, …
abstract agent agents arxiv conversational conversational agents conversational search cs.cl cs.pl data data access free hybrid knowledge language language models large language large language models paper search text through type unstructured unstructured data
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