Unverified60% confidenceFactTime unknown
RAGFlow supports a parent-child chunking strategy — using small chunks for retrieval matching while returning parent chunks containing more context to the LLM
2
Sources
60%
Confidence
Long-term
Relevance
6/2/2026
First Seen
Sources
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Related Claims
UnverifiedMultimodal RAG is an architecture that extends retrieval-augmented generation from plain text to mixed image-text corpora; a single retrieval often recalls multiple images, so the input is inherently multi-image.59% similarUnverifiedMatch mode tends to flexibly match the overall style and composition, while max mode more strictly preserves the details of the reference image.57% similarUnverifiedMergeImage's intelligent stitching adopts a conservative strategy for processing scrolling screenshots, avoiding misjudgments that could cause content loss by setting a high matching confidence threshold56% similarUnverifiedFactorSplat's design decouples the geometry component from the color-visibility component, enabling a single checkpoint to support multiple TF edits.56% similarUnverifiedLLaVA-1.6's AnyRes strategy selects the optimal cropping scheme based on the image aspect ratio, passes each sub-patch independently through the visual encoder, while retaining one downsampled global image.56% similar
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