Veysel Gündüzalp - Senior Software Engineer at Trendyol 

A vector database is a specialized type of database designed for handling vector embeddings, which are used to represent complex data in a format suitable for machine learning models. These databases enable efficient storage, indexing, and searching of high-dimensional vector data, making them ideal for applications in AI that require rapid retrieval of similar content, such as image recognition, recommendation systems, and natural language processing tasks. This presentation will delve into the architecture of vector databases, their operational mechanisms, and the significant advantages they offer over traditional databases in handling large-scale and complex data queries.

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