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 language | English |
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Title of host publication | HRI 2024 Companion - Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction |
Editors | Dan Grollman, Elizabeth Broadbent |
Number of pages | 5 |
Place of Publication | New York |
Publisher | IEEE Computer Society |
Publication date | 11 Mar 2024 |
Pages | 578-582 |
ISBN (Electronic) | 979-8-4007-0323-2 |
DOIs | |
Publication status | Published - 11 Mar 2024 |
MoE publication type | A4 Article in conference proceedings |
Event | Annual ACM/IEEE International Conference on Human-Robot Interaction - Boulder, United States Duration: 11 Mar 2024 → 15 Mar 2024 Conference number: 19 |
Publication series
Name | ACM/IEEE International Conference on Human-Robot Interaction |
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Publisher | IEEE 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