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Updated RAPTOR-specific UI (#7348)

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### What problem does this PR solve?

### Type of change

- [x] Documentation Update
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writinwaters
2025-04-27 16:49:14 +08:00
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docs/guides/dataset/enable_raptor.md
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@ -21,7 +21,7 @@ Enabling RAPTOR requires significant memory, computational resources, and tokens
## Basic principles
After the original documents are divided into chunks, the chunks are clustered by semantic similarity rather than by their original order in the text. Clusters are then summarized into higher-level chunks by your system's default chat model. This process is applied recursively, forming a tree structure with various levels of summarization from the bottom up. As illustrated in the figure below, the initial chunks form the leaf nodes (shown in blue) and are progressively summarized into a root node (shown in orange).
After the original documents are divided into chunks, the chunks are clustered by semantic similarity rather than by their original order in the text. Clusters are then summarized into higher-level chunks by your system's default chat model. This process is applied recursively, forming a tree structure with various levels of summarization from the bottom up. As illustrated in the figure below, the initial chunks form the leaf nodes (shown in blue) and are recursively summarized into a root node (shown in orange).
![raptor](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/clustering_and_summarizing.jpg)