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Added a guide on setting chat variables (#6904)

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### What problem does this PR solve?



### Type of change

- [x] Documentation Update
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writinwaters
2025-04-09 19:32:25 +08:00
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docs/guides/dataset/construct_knowledge_graph.md
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@ -70,7 +70,7 @@ In a knowledge graph, a community is a cluster of entities linked by relationshi
3. Click **Knowledge graph** to view the details of the generated graph.
4. To use the created knowledge graph, do either of the following:
- In your **Chat Configuration** dialogue, click the **Assistant Setting** tab to add the corresponding knowledge base(s) and click the **Prompt Engine** tab to switch on the **Use knowledge graph** toggle.
- In your **Chat Configuration** dialogue, click the **Assistant settings** tab to add the corresponding knowledge base(s) and click the **Prompt engine** tab to switch on the **Use knowledge graph** toggle.
- If you are using an agent, click the **Retrieval** agent component to specify the knowledge base(s) and switch on the **Use knowledge graph** toggle.
## Frequently asked questions

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docs/guides/dataset/use_tag_sets.md
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@ -11,7 +11,7 @@ Use a tag set to tag chunks in your datasets.
Retrieval accuracy is the touchstone for a production-ready RAG framework. In addition to retrieval-enhancing approaches like auto-keyword, auto-question, and knowledge graph, RAGFlow introduces an auto-tagging feature to address semantic gaps. The auto-tagging feature automatically maps tags in the user-defined tag sets to relevant chunks within your knowledge base based on similarity with each chunk. This automation mechanism allows you to apply an additional "layer" of domain-specific knowledge to existing datasets, which is particularly useful when dealing with a large number of chunks.
To use this feature, ensure you have at least one properly configured tag set, specify the tag set(s) on the **Configuration** page of your knowledge base (dataset), and then re-parse your documents to initiate the auto-tag process. During this process, each chunk in your dataset is compared with every entry in the specified tag set(s), and tags are automatically applied based on similarity.
To use this feature, ensure you have at least one properly configured tag set, specify the tag set(s) on the **Configuration** page of your knowledge base (dataset), and then re-parse your documents to initiate the auto-tagging process. During this process, each chunk in your dataset is compared with every entry in the specified tag set(s), and tags are automatically applied based on similarity.
:::caution NOTE
The auto-tagging feature is *unavailable* on the [Infinity](https://github.com/infiniflow/infinity) document engine.
@ -19,7 +19,7 @@ The auto-tagging feature is *unavailable* on the [Infinity](https://github.com/i
## Scenarios
Auto-tagging applies in situations where chunks are so similar to each other that the intended chunks cannot be distinguished from the rest. For example, when you have a few chunks about iPhone and a majority about iPhone case or iPhone accessaries, it becomes difficult to retrieve the iPhone-specific chunks without additional information.
Auto-tagging applies in situations where chunks are so similar to each other that the intended chunks cannot be distinguished from the rest. For example, when you have a few chunks about iPhone and a majority about iPhone case or iPhone accessaries, it becomes difficult to retrieve those chunks about iPhone without additional information.
## Create tag set