Oracle Database Standard Edition 2 (SE2) streamlines the existing Standard Edition (SE) and Standard Edition One (SE1) offerings into a single offering going forward that continues to provide an affordable enterprise class database for SMB customers. When SE was first introduced single and dual core CPUs were the norm. Today, we have 18 core CPUs and 32 core CPUs are around the corner. Not to mention that per core performance has
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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