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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Design a multimodal RAG pipeline supporting text, images, and documents.

## Content Types
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## Query Types
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## 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.

Details

Category

Coding

Use Cases

Multimodal RAGVision integrationDocument understanding

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claude-sonnet-4-20250514gpt-4o
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