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| slug: /construct_knowledge_graph |
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| # Construct knowledge graph |
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| Generate a knowledge graph for your knowledge base. |
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| To enhance multi-hop question-answering, RAGFlow adds a knowledge graph construction step between data extraction and indexing, as illustrated below. This step creates additional chunks from existing ones generated by your specified chunk method. |
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| From v0.16.0 onward, RAGFlow supports constructing a knowledge graph on a knowledge base, allowing you to construct a *unified* graph across multiple files within your knowledge base. When a newly uploaded file starts parsing, the generated graph will automatically update. |
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| :::danger WARNING |
| Constructing a knowledge graph requires significant memory, computational resources, and tokens. |
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| ## Scenarios |
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| 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. |
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| ## Prerequisites |
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| The system's default chat model is used to generate knowledge graph. Before proceeding, ensure that you have a chat model properly configured: |
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| ## Configurations |
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| ### Entity types (*Required*) |
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| The types of the entities to extract from your knowledge base. The default types are: **organization**, **person**, **event**, and **category**. Add or remove types to suit your specific knowledge base. |
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| ### Method |
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| The method to use to construct knowledge graph: |
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| - **General**: Use prompts provided by [GraphRAG](https://github.com/microsoft/graphrag) to extract entities and relationships. |
| - **Light**: (Default) Use prompts provided by [LightRAG](https://github.com/HKUDS/LightRAG) to extract entities and relationships. This option consumes fewer tokens, less memory, and fewer computational resources. |
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| ### Entity resolution |
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| Whether to enable entity resolution. You can think of this as an entity deduplication switch. When enabled, the LLM will combine similar entities - e.g., '2025' and 'the year of 2025', or 'IT' and 'Information Technology' - to construct a more effective graph. |
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| - (Default) Disable entity resolution. |
| - Enable entity resolution. This option consumes more tokens. |
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| ### Community report generation |
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| In a knowledge graph, a community is a cluster of entities linked by relationships. You can have the LLM generate an abstract for each community, known as a community report. See [here](https://www.microsoft.com/en-us/research/blog/graphrag-improving-global-search-via-dynamic-community-selection/) for more information. This indicates whether to generate community reports: |
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| - Generate community reports. This option consumes more tokens. |
| - (Default) Do not generate community reports. |
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| ## Procedure |
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| 1. On the **Configuration** page of your knowledge base, switch on **Extract knowledge graph** or adjust its settings as needed, and click **Save** to confirm your changes. |
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| - *The default knowledge graph configurations for your knowledge base are now set and files uploaded from this point onward will automatically use these settings during parsing.* |
| - *Files parsed before this update will retain their original knowledge graph settings.* |
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| 2. The knowledge graph of your knowledge base does *not* automatically update *until* a newly uploaded file is parsed. |
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| _A **Knowledge graph** entry appears under **Configuration** once a knowledge graph is created._ |
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| 3. Click **Knowledge graph** to view the details of the generated graph. |
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| ## Frequently asked questions |
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| ### Can I have different knowledge graph settings for different files in my knowledge base? |
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| Yes, you can. Just one graph is generated per knowledge base. The smaller graphs of your files will be *combined* into one big, unified graph at the end of the graph extraction process. |
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| ### Does the knowledge graph automatically update when I remove a related file? |
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| Nope. The knowledge graph does *not* automatically update *until* a newly uploaded graph is parsed. |
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| ### How to remove a generated knowledge graph? |
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| To remove the generated knowledge graph, delete all related files in your knowledge base. Although the **Knowledge graph** entry will still be visible, the graph has actually been deleted. |
