How we index images for RAG - kapa.ai - Instant AI answers to technical questions
Summary
Kapa explains how it indexes images for retrieval-augmented generation without sending images to the model at query time. The system captions images once at ingestion, stores those captions as text, and retrieves them alongside normal document chunks. This approach reduces per-query cost, avoids payload limits, and improves answer quality for technical documentation. The article also shows why generic multimodal retrieval and inline image handling perform worse at scale. Kapa says the feature is rolling out in preview now.
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