Vector databases at the intersection of space and similarity: a case study on image retrieval using Qdrant and DINOv2
Tabarani, Alexandra (A.A. 2024/2025) Vector databases at the intersection of space and similarity: a case study on image retrieval using Qdrant and DINOv2. Tesi di Laurea in Databases & big data, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 46. [Bachelor's Degree Thesis]
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Abstract/Index
Fundamentals of vector databases. Overview of vector databases. Vector embeddings. Similarity search: Approximate nearest neighbor (ANN). Distance metrics in vector space. Overview of distance metrics. Common distance metrics used in vector spaces. Beyond the basics: reflections and other distance metrics. Case study: implementing vector databases for painting similarity search. Project overview and objectives. Technology stack: Qdrant and DINOv2. Project implementation. Reflections and future work.
References
Bibliografia: pp. 44-46.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Databases & big data |
| Thesis Supervisor: | Sinaimeri, Blerina |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 19 Nov 2025 15:20 |
| Last Modified: | 19 Nov 2025 15:20 |
| URI: | https://tesi.luiss.it/id/eprint/43941 |
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