1Z0-184-25 practice question 14 of 15

What is the primary purpose of the VECTOR_EMBEDDING function in Oracle Database 23ai?

Full set: 60 questions

Answer options

A: To calculate vector dimensions

B: To calculate vector distances

C: To serialize vectors into a string

D: To generate a single vector embedding for data Correct answer

Correct Answer:

D. To generate a single vector embedding for data

Explanation

The VECTOR_EMBEDDING function in Oracle 23ai (D) generates a vector embedding from input data (e.g., text) using a specified model (e.g., ONNX), producing a single VECTOR-type output for similarity search or AI tasks. It doesn’t calculate dimensions (A); VECTOR_DIMENSION_COUNT does that. It doesn’t compute distances (B); VECTOR_DISTANCE is for that. It doesn’t serialize vectors (C); VECTOR_SERIALIZE handles serialization. Oracle’s documentation positions VECTOR_EMBEDDING as the core function for in-database embedding creation, central to vector search workflows.
Reference:Oracle Database 23ai SQL Language Reference, Section on VECTOR_EMBEDDING.

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