Brendan Tierney performs a search:
In my previous blog posts I’ve explored how to use Iceberg Tables and how to integrate these in with your Data Lake. Additionally, I showed how to setup your Oracle Data Lake (Database) to access the data stored in Iceberg Tables stored in OCI Object Storage. To access this Iceberg Table data from the Oracle Database we created an External Table. This allows us to query the Iceberg Table data as if it was internal to the database. With all new releases there is continuous improvement in the features and to make them easier to use. One such new feature (as of 23.26.1) is the ability to read vector data types from an External Table. This new feature is called or referred to as ‘Vectors on Ice’.
With Oracle Database External Tables now supporting vector embedding stored in Iceberg Tables, means you can generate vector embeddings with your preferred embedding model (external to Oracle using your faviourite tool/library), store them in Iceberg Tables in cloud object storage (OCI Object Storage, AWS S3, etc.), and run semantic search from Oracle AI Database, accessing vector data stored within the database and externally with the minimum of data movement and with similar SQL queries.
Click through to see how.