Using Retrieval vs. Cache Augmented Generation for a Pok´emon Chatbot

Cache Augmented Generation (CAG) can be an alternative to Retrieval Augmented Generation (RAG). There are differences between the two frameworks, but they work largely in the same way. One of the major differences between CAG and RAG is that CAG usespreloaded content rather than continuously calling to updated data as RAG does. In this poster, we will compare the performance of RAG vs. CAG approaches with an example chatbot application that can answer queries about Pok´emon.

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Publication Details

Journal
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
Published
2025-05-14
DOI
https://doi.org/10.32473/flairs.38.1.138937
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Retrieval vs. Cache Augmented Generation for a Pok´emon Chatbot

Cengiz Günay, Jonathan Tran
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
AI in Service Interactions
article

Using Retrieval vs. Cache Augmented Generation for a Pok´emon Chatbot

Cengiz Günay, Jonathan Tran
article en

Abstract

Cache Augmented Generation (CAG) can be an alternative to Retrieval Augmented Generation (RAG). There are differences between the two frameworks, but they work largely in the same way. One of the major differences between CAG and RAG is that CAG usespreloaded content rather than continuously calling to updated data as RAG does. In this poster, we will compare the performance of RAG vs. CAG approaches with an example chatbot application that can answer queries about Pok´emon.

Proceedings of the ... International Florida Artificial Intelligence Research Society ConferenceVol. 38
Gwinnett College (US), Georgia Gwinnett College (US)
Openalex Percentile: Top 70%
AI in Service Interactions
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