Optimizing document retrieval using massive text embeddings and LLM prompt engineering.
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| Title: | Optimizing document retrieval using massive text embeddings and LLM prompt engineering. |
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| Authors: | Mitrov G; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, Skopje, 1000, North Macedonia.; Magix.AI, Cyril and Methodius 3A, Skopje, 1000, North Macedonia., Stanoev B; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, Skopje, 1000, North Macedonia.; Magix.AI, Cyril and Methodius 3A, Skopje, 1000, North Macedonia., Trajkovik V; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, Skopje, 1000, North Macedonia., Risteska Stojkoska B; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, Skopje, 1000, North Macedonia., Basnarkov L; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, Skopje, 1000, North Macedonia., Lameski P; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, Skopje, 1000, North Macedonia., Kampel M; Computer Vision Lab, TU Wien, Favoritenstr. 9/193-1, Vienna, 1040, Austria. martin.kampel@tuwien.ac.at., Zdravevski E; Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Rugjer Boshkovik 16, Skopje, 1000, North Macedonia.; Magix.AI, Cyril and Methodius 3A, Skopje, 1000, North Macedonia. |
| Source: | Systematic reviews [Syst Rev] 2026 Apr 14; Vol. 15 (1). Date of Electronic Publication: 2026 Apr 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101580575 Publication Model: Electronic Cited Medium: Internet ISSN: 2046-4053 (Electronic) Linking ISSN: 20464053 NLM ISO Abbreviation: Syst Rev Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41981616 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13643-026-03155-4 Languages: – Code: eng Text: English Titles: – TitleFull: Optimizing document retrieval using massive text embeddings and LLM prompt engineering. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mitrov G – PersonEntity: Name: NameFull: Stanoev B – PersonEntity: Name: NameFull: Trajkovik V – PersonEntity: Name: NameFull: Risteska Stojkoska B – PersonEntity: Name: NameFull: Basnarkov L – PersonEntity: Name: NameFull: Lameski P – PersonEntity: Name: NameFull: Kampel M – PersonEntity: Name: NameFull: Zdravevski E IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 04 Text: 2026 Apr 14 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2046-4053 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Systematic reviews Type: main |
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