SOFTWARE SYSTEM FOR SEMANTIC TEXT SEARCH USING VECTOR DATABASE TECHNOLOGY
DOI:
https://doi.org/10.24867/28BE32SukovicKeywords:
Vector database, vector embedding, semantic searchAbstract
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
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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.
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Published
2024-09-06
Issue
Section
Electrotechnical and Computer Engineering
