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undergraduate thesis
Izrada chatbota baziranog na OpenAI API-ju uz primjenu RAG
2024. urn:nbn:hr:200:697168
Adžić, Samuel
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Cite this document

Adžić, S. (2024). Izrada chatbota baziranog na OpenAI API-ju uz primjenu RAG (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:697168

Adžić, Samuel. "Izrada chatbota baziranog na OpenAI API-ju uz primjenu RAG." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:697168

Adžić, Samuel. "Izrada chatbota baziranog na OpenAI API-ju uz primjenu RAG." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:697168

Adžić, S. (2024). 'Izrada chatbota baziranog na OpenAI API-ju uz primjenu RAG', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 10 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:697168

Adžić S. Izrada chatbota baziranog na OpenAI API-ju uz primjenu RAG [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 December 10] Available at: https://urn.nsk.hr/urn:nbn:hr:200:697168

S. Adžić, "Izrada chatbota baziranog na OpenAI API-ju uz primjenu RAG", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:697168

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Metadata
TitleIzrada chatbota baziranog na OpenAI API-ju uz primjenu RAG
Title (english)Development of a Chatbot Based on the OpenAI API Using RAG
AuthorSamuel Adžić
MentorHrvoje Leventić (mentor)
Committee memberDražen Bajer (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2024-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Ovaj završni rad bavi se istraživanjem i implementacijom chatbota temeljenog na OpenAI APIju, koristeći metodologiju Retrieval-Augmented Generation (RAG). Cilj rada bio je pokazati kako kombinacija generativnih jezičnih modela i metoda pretraživanja informacija može poboljšati točnost i relevantnost odgovora koje chatbot pruža korisnicima. Kroz rad su obrađeni ključni koraci poput pripreme podataka, izgradnje embeddinga te primjene različitih jezičnih modela. Embeddingzi predstavljaju ključni element obrade prirodnog jezika, omogućujući pretvaranje tekstualnih podataka u numeričke vektore, što pomaže modelima u razumijevanju i usporedbi semantičkog značenja riječi i fraza. Evaluacija je uključivala analizu OpenAI modela GPT-4o i GPT-4o-mini, razmatrajući točnost, učinkovitost, troškovnu isplativost i prilagodljivost. GPT-4o, iako vrlo točan i detaljan, dolazi s većim troškovima i zahtjevima za računalne resurse, dok GPT4o-mini nudi povoljan omjer cijene i performansi za aplikacije s ograničenim resursima. Konačan odabir između ova dva modela ovisi o specifičnim potrebama i ciljevima projekta.
Abstract (english)
This thesis focuses on the research and implementation of a chatbot based on the OpenAI API, using the Retrieval-Augmented Generation (RAG) methodology. The goal of the thesis was to demonstrate how the combination of generative language models and information retrieval methods can improve the accuracy and relevance of the responses provided by the chatbot to users. The work covered key steps such as data preparation, the construction of embeddings, and the application of various language models. Embeddings represent a key element in natural language processing, enabling the transformation of textual data into numerical vectors, which helps models understand and compare the semantic meaning of words and phrases. The evaluation included an analysis of OpenAI models GPT4o and GPT-4o-mini, considering accuracy, efficiency, costeffectiveness, and adaptability. While GPT-4o is highly accurate and detailed, it comes with higher costs and computational resource requirements, whereas GPT-4o-mini offers a favorable balance between cost and performance for applications with limited resources. The final choice between these two models depends on the specific needs and goals of the project.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:697168
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2024-10-27 16:28:52