1Z0-184-25 practice question 4 of 15

What is the primary purpose of the DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS package in a RAG application?

Answer options

A: To generate vector embeddings from a text document

B: To load a document into the database

C: To split a large document into smaller chunks to improve vector quality by minimizing token truncation Correct answer

D: To convert a document into a single, large text string

Correct Answer:

C. To split a large document into smaller chunks to improve vector quality by minimizing token truncation

Explanation

In Oracle Database 23ai, the DBMS_VECTOR_CHAIN package supports Retrieval Augmented Generation (RAG) workflows by providing utilities for vector processing. The UTL_TO_CHUNKS function specifically splits large documents into smaller, manageable text chunks. This is critical in RAG applications because embedding models (e.g., BERT, ONNX models) have token limits (e.g., 512 tokens). Splitting text minimizes token truncation, ensuring that each chunk retains full semantic meaning, which improves the quality of subsequent vector embeddings and search accuracy. Generating embeddings (A) is handled by functions like VECTOR_EMBEDDING, not UTL_TO_CHUNKS. Loading documents (B) is a separate process (e.g., via SQL*Loader). Converting to a single text string
(D) contradicts the chunking purpose and risks truncation. Oracle’s documentation on DBMS_VECTOR_CHAIN emphasizes chunking for optimizing vector quality in RAG.
Reference:Oracle Database 23ai PL/SQL Packages and Types Reference, DBMS_VECTOR_CHAIN.

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