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Updated: Jun 8, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Customizing GPT for natural language dialogue interface in database access
1Database Center for Life Science (DBCLS), Joint Support-Center for Data Science Research (ROIS-DS), Research Organization of Information and Systems (ROIS), 178-4-4 Wakashiba, Kashiwa, 277-0871, Chiba, Japan. jdkim@dbcls.rois.ac.jp.
Abstract:
The paper presents Anatomy3DExplorer, a customized ChatGPT designed as a natural language dialogue interface for exploring 3D models of anatomical structures. It illustrates the significant potential of large language models (LLMs) as user-friendly interfaces for database access. Furthermore, it showcases the seamless integration of LLMs and database APIs, within the GPTS framework, offering a promising and straightforward approach.
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