drs_start | Enables Oracle to determine whether or not the DRMON (Disaster Recovery Monitor) process should be started. | ||
gc_files_to_locks | A RAC parameter that controls the mapping of pre-release 9.0.1 parallel cache management (PCM) locks to datafiles. | ||
max_commit_propagation_delay | Used when data consistency between different RAC instances must be guaranteed and immediate i.e. if commits must be seen instantaneously on remote instances. | ||
plsql_native_library_dir | Specifies the name of a directory where the shared objects produced by the native compiler are stored. | ||
plsql_native_library_subdir_count | Specifies the number of subdirectories created by the database administrator in the directory specified by plsql_native_library_dir. | ||
sql_version | SQL language version parameter for compatibility issues. |
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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