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Multimodal Context Assembler

Software componentKnowledge & DataKnowledge & Dataarc:MultimodalContextAssembler

A context assembler that detects retrieved chunks derived from images via metadata flags, loads the original images, and builds a multimodal prompt combining query, text context, and images.

Responsibility. Builds multimodal prompt context by re-attaching original images to image-derived chunks.

Also known as: Multimodal prompt builder

Variant of Context Assembler abstract

Direct neighbourhood (hover for relationship types)

Relationships

is configured by structural

Multimodal Chunk Metadata Schema Ch2.7

reads dependency

Source Media Store Ch2.7

receives data from dynamic

sends data to dynamic

Multimodal Answer Synthesizer Ch2.7

Design guidance

SHOULD pass the original image with the query to a multimodal LLM when retrieved chunks originated from image captions.

Classification

Patterns: Retrieve on text, reason on original
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Nuance lost when charts are compressed into text descriptions

Sources

Ch2.7: T. Nguyen, "Multimodal RAG Approaches," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 2.7. ISBN: 9798244538229.