Exploring a Japanese Cooking Database: A robot uses GenAI and a knowledge graph to chat about culinary delights

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

The paper describes ongoing work applying Generative AI to a real world application. We use Retrieval Augmented Generation and other GenAI tools that combine large language models with Neo4j knowledge graphs. These tools help a robot to chat in English about Japanese cooking using a knowledge base that is in Japanese.

Original languageEnglish
Title of host publicationHRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
EditorsDan Grollman, Elizabeth Broadbent
Number of pages5
Place of PublicationNew York
PublisherIEEE Computer Society
Publication date11 Mar 2024
Pages578-582
ISBN (Electronic)979-8-4007-0323-2
DOIs
Publication statusPublished - 11 Mar 2024
MoE publication typeA4 Article in conference proceedings
EventAnnual ACM/IEEE International Conference on Human-Robot Interaction - Boulder, United States
Duration: 11 Mar 202415 Mar 2024
Conference number: 19

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
ISSN (Print)2167-2121
ISSN (Electronic)2167-2148

Fields of Science

  • 6121 Languages
  • 113 Computer and information sciences
  • Cypher query language
  • Generative AI
  • graph databases
  • Japanese cooking
  • knowledge graphs
  • large language models
  • retrieval augmented generation
  • semantic search
  • social robots

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