ddl_wait_for_locks | Specifies whether DDL statements (such as ALTER TABLE ... ADD COLUMN) wait and complete instead of timing out if the statement is not able to acquire all required locks. |
logmnr_max_persistent_sessions | Specifies the maximum number of persistent LogMiner mining sessions that are concurrently active when all sessions are mining redo logs generated by standalone instances. |
plsql_compiler_flags | Specifies a list of flags for the PL/SQL compiler as a comma-separated list of strings. |
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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