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

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.