{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T16:19:14Z","timestamp":1764260354399},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T00:00:00Z","timestamp":1725235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,2]]},"DOI":"10.1109\/fmec62297.2024.10710181","type":"proceedings-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T17:22:38Z","timestamp":1728926558000},"page":"54-62","source":"Crossref","is-referenced-by-count":3,"title":["LLMRAG: An Optimized Digital Support Service using LLM and Retrieval-Augmented Generation"],"prefix":"10.1109","author":[{"given":"Oscar","family":"Cederlund","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sadi","family":"Alawadi","sequence":"additional","affiliation":[{"name":"Blekinge Institute of Technology,Department of Computer Science,Karlskrona,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feras M.","family":"Awaysheh","sequence":"additional","affiliation":[{"name":"University of Tartu,Institute of Computer Science, Delta Research Centre,Tartu,Estonia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Azure OpenAI Service documentation-Quickstarts, Tutorials, API Reference-Azure AI services"},{"key":"ref2","article-title":"OpenAI gpt-3.5-turbo"},{"key":"ref3","article-title":"OpenAI text-embedding-ada-002"},{"year":"2023","key":"ref4","article-title":"Microsoft Graph overview-Microsoft Graph"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/EMR.2023.3272799"},{"key":"ref6","article-title":"Pre-training Tasks for Embedding-based Large-scale Retrieval","author":"Chang","year":"2020","journal-title":"arXiv:2002.03932"},{"key":"ref7","first-page":"92110","article-title":"Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for Swedish","volume-title":"Association for Computational Linguistics","author":"Holmstr\u00f6m"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403305"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/1626355.1626389"},{"key":"ref10","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems, NIPS\u201920","author":"Lewis"},{"key":"ref11","first-page":"74","article-title":"ROUGE: A Package for Automatic Evaluation of Summaries","volume-title":"Text Summarization Branches Out","author":"Lin"},{"key":"ref12","article-title":"The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence","author":"Marcus","year":"2020","journal-title":"arXiv:2002.06177"},{"key":"ref13","article-title":"Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizations","author":"Pandya","year":"2023","journal-title":"arXiv e-prints ADS Bibcode: 2023arXiv231005421P"},{"key":"ref14","article-title":"Large Language Models (GPT) for automating feedback on programming assignments","author":"Pankiewicz","year":"2023","journal-title":"arXiv:2307.00150"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref16","article-title":"Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data","author":"Peng","year":"2023","journal-title":"arXiv:2308.03107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SRSE59585.2023.10336112"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3661370"}],"event":{"name":"2024 9th International Conference on Fog and Mobile Edge Computing (FMEC)","start":{"date-parts":[[2024,9,2]]},"location":"Malm\u00f6, Sweden","end":{"date-parts":[[2024,9,5]]}},"container-title":["2024 9th International Conference on Fog and Mobile Edge Computing (FMEC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10710134\/10710180\/10710181.pdf?arnumber=10710181","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,15]],"date-time":"2024-10-15T04:56:20Z","timestamp":1728968180000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10710181\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,2]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/fmec62297.2024.10710181","relation":{},"subject":[],"published":{"date-parts":[[2024,9,2]]}}}