Multimodal RAG: A Complete Guide to Ingesting Images, Tables, and PDFs

This article examines the blind spot of pure‑text RAG for visual content, compares three multimodal ingestion strategies—CLIP embeddings, image‑to‑text captioning with a MultiVectorRetriever, and ColPali visual retrieval—covers table‑specific handling, presents end‑to‑end TypeScript implementations, and lists common pitfalls to avoid when deploying production‑grade multimodal RAG pipelines.

CLIPColPaliImage Captioning

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Multimodal RAG: A Complete Guide to Ingesting Images, Tables, and PDFs

Sohu Tech Products

Jan 8, 2025 · Artificial Intelligence

Multimodal RAG: Implementation Paths and Development Prospects

The talk outlines Multimodal RAG implementation routes, comparing OCR‑based object recognition, transformer encoder‑decoder encoding, and Visual Language Model processing, explains the ColPali late‑interaction method for multi‑dimensional vector matching, addresses scaling tensors with binarization and reranking, and recommends a hybrid long‑term strategy where VLM excels on abstract imagery while traditional OCR remains valuable.

ColPaliDocument ProcessingMultimodal RAG

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Multimodal RAG: Implementation Paths and Development Prospects