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A machine learning team is using IVF indexes in Oracle Database 23ai to find similar images in a large dataset. During testing, they observe that the search results are often incomplete, missing relevant images. They suspect the issue lies in the number of partitions probed. How should they improve the search accuracy?
Assuming we have a table called VT2 that contains vectors for mapping various shapes, colors, and sizes, what is the primary purpose of the following UPDATE statements? SQL> UPDATE vt2
SET shape = 'Triangle
WHERE id IN (2, 4, 7, 22, 31, 41, 44, 55);
SQL> UPDATE vt2
SET size = 'Medium'
WHERE id IN (5, 22, 25, 32, 34, 42, 43, 53, 54, 55);
Multi-Vector Similarity Search is typically used for:
Which operation is NOT permitted on tables containing VECTOR columns?
What is the purpose of the Vector Pool in Oracle Database 23ai?
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