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

Year: 2025

Type: conference-paper

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.

Source: Proceedings of the ... International Florida Artificial Intelligence Research Society Conference

DOI: 10.32473/flairs.38.1.138937

Authors: Cengiz Gunay, Jonathan Tran

Institution: Georgia Gwinnett College

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410399019

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