Skip to main navigation menu Skip to main content Skip to site footer

Electrotechnical and Computer Engineering

Vol. 39 No. 09 (2024): Proceedings of Faculty of Technical Sciences

SOFTWARE SYSTEM FOR SEMANTIC TEXT SEARCH USING VECTOR DATABASE TECHNOLOGY

DOI:
https://doi.org/10.24867/28BE32Sukovic
Submitted
March 17, 2024
Published
2024-09-06

Abstract

This paper proposes an alternative approach to text search using vector databases and pretrained artificial intelligence models. The paper deals with the process of creating a vector representation of textual data, indexing them into different vector databases and the procedure of searching for similarities with user queries.

References

1. S. J. Russel i P. Norvig, u Artificial intelligence: a modern approach, New Jersey, Pearson Education, 2010, pp. 1-29.
2. J. R, „kaggle.com,“ [Na mreži]. Available: https://www.kaggle.com/datasets/jrobischon/wikipedia-movie-plots.
3. pinecone.io, „https://www.pinecone.io/,“ pinecone.io. [Na mreži].
4. „weaviate.io,“ Weaviate, [Na mreži]. Available: https://weaviate.io/developers/weaviate. [Poslednji pristup 16 February 2024].
5. „qdrant.tech,“ Qdrant, [Na mreži]. Available: https://qdrant.tech/documentation/. [Poslednji pristup 16 February 2024].
6. T. Wolf, L. Debut, V. Sanh, J. Chaumond, C. Delangue i A. Moi, „HuggingFace's Transformers: State-of-the-art Natural Language Processing,“ Hugging Face, Brooklyn, 2020.