advanced~4h

Multimodal RAG Pipeline

RAG pipelines that retrieve and reason over text + images + document screenshots

Subtopics

Exercises

Projects

Quiz Qs

Flashcards

▶📚 Prerequisites(3)

🎓 Learning objectives

•Explain ColPali architecture and why it avoids OCR
•Build a pipeline that indexes document screenshots and retrieves them by semantic query
•Compare ColBERT-style late interaction scoring with dense retrieval
•Use a VLM to generate answers from retrieved document page images
•Choose between text RAG and multimodal RAG for a given use case

Why Multimodal RAG: The Limits of Text-Only RAG for Real Documents

Pipeline Architecture: Extract, Embed Separately, Retrieve, and Combine

Handling Different Modalities: Charts, Slides, Screenshots, and Handwriting

Tools and Frameworks: LlamaIndex Multimodal, ColPali, and an End-to-End Example

rag-architecturesvision-language-overviewrag-workflow