Coral Cloud Resorts is uploading thousands of new HTML knowledge articles files for a resort launch. To ensure Agentforce retrieves accurate responses quickly, which chunking strategy should be used w

The correct answer is C. Section-aware chunking. HTML knowledge articles have inherent document structure: headings, sections, and subsections. Section-aware chunking respects this structure by splitting content at logical section boundaries (e.g., H1/H2 tags), ensuring each chunk is semantically self-contained and correctly sc

Knowledge Management and Self-Service

Question

Coral Cloud Resorts is uploading thousands of new HTML knowledge articles files for a resort launch. To ensure Agentforce retrieves accurate responses quickly, which chunking strategy should be used when creating a new index?

Options

ASemantic-based passage extraction
BConversation-based chunking
CSection-aware chunking

How the community answered

(32 responses)

A
16% (5)
B
6% (2)
C
78% (25)

Explanation

HTML knowledge articles have inherent document structure: headings, sections, and subsections. Section-aware chunking respects this structure by splitting content at logical section boundaries (e.g., H1/H2 tags), ensuring each chunk is semantically self-contained and correctly scoped. This yields precise retrieval because a query about a specific topic returns the right section without noise from surrounding content. Semantic-based passage extraction (A) is better suited for unstructured prose. Conversation-based chunking (B) is designed for dialogue data, not structured documents.

Topics

#Chunking strategies#Knowledge articles#Information retrieval#HTML document processing

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