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

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.