A SQL Server Device CAL is required in order for a device (for example, a PC, workstation, terminal, PDA, mobile phone, and so on) to access or use the services or functionality of Microsoft SQL Server. The Server plus device CAL model will likely be the more cost-effective choice if there are multiple users per device (for example, in a call center). Please see multiplexing section to ensure every device is licensed properly. Exceptions include communication exclusively between SQL Servers and manual data transfer between employees.
Vector Databases Usage: Typically used for vector search use cases such as visual, semantic, and multimodal search. More recently, they are paired with generative AI text models for conversational search experiences. Development Process: Begins with building an embedding model designed to encode a corpus (e.g., product images) into vectors. The data import process is referred to as data hydration. Application Development: Application developers utilize the database to search for similar products. This involves encoding a product image and using the vector to query for similar images. k-Nearest Neighbor (k-NN) Indexes: Within the model, k-nearest neighbor (k-NN) indexes facilitate efficient retrieval of vectors. A distance function like cosine is applied to rank results by similarity.
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