Design a multimodal RAG pipeline supporting text, images, and documents. ## Content Types {{content_types}} ## Query Types {{query_types}} ## Integration Requirements {{integration_requirements}} Design the pipeline: **Ingestion Layer** - Document parsing (PDF, DOCX) - Image extraction and captioning - Table/chart understanding - Unified metadata schema **Embedding Layer** - Text embedding model - Vision embedding model - Multimodal alignment **Retrieval Layer** - Cross-modal search - Modality-specific filtering - Result fusion **Generation Layer** - Multimodal context assembly - Vision-language model integration - Citation with visual references Provide architecture diagrams and key implementation code.
Multimodal RAG Pipeline Design
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Design a complete multimodal RAG pipeline supporting text, images, and documents with cross-modal search and vision-language model integration.
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CodingUse Cases
Multimodal RAGVision integrationDocument understanding
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claude-sonnet-4-20250514gpt-4o
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