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Added a RAPTOR guide (#7211)

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### Type of change

- [x] Documentation Update
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2025-04-22 20:56:30 +08:00
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docs/guides/dataset/construct_knowledge_graph.md
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@ -23,6 +23,10 @@ Constructing a knowledge graph requires significant memory, computational resour
Knowledge graphs are especially useful for multi-hop question-answering involving *nested* logic. They outperform traditional extraction approaches when you are performing question answering on books or works with complex entities and relationships.
:::tip NOTE
RAPTOR (Recursive Abstractive Processing for Tree Organized Retrieval) can also be used for multi-hop question-answering tasks. See [Enable RAPTOR](./enable_raptor.md) for details. You may use either approach or both, but ensure you understand the memory, computational, and token costs involved.
:::
## Prerequisites
The system's default chat model is used to generate knowledge graph. Before proceeding, ensure that you have a chat model properly configured: