This research integrates LLMs with RAG (Retrieval-Augmented Generation) to develop a conversational interface allowing users to post queries and ask questions from a website. It compares the LLMRAGmethodwith traditional site search functionality to determine which method users perceive as better, specifically regarding response quality and response time. The perceived results for response quality and response time were evaluated under the null hypothesis that there is no difference between the two methods. The study showed that the LLM RAG method was perceived as better in terms of response quality, and those results were significant. However, for response time, the traditional site search method was perceived as better, but the results were not significant, so the null hypothesis could not be rejected. Overall, the integration of LLMs with RAG frameworks promises to enhance information retrieval systems on digital platforms.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hj-65107 |
| Date | January 2024 |
| Creators | Umar, Fatima |
| Publisher | Jönköping University, JTH, Avdelningen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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