docs/guides/knowledge_compilation/faq.md
Wiki is generated differently from other knowledge artifacts.
Graph, Tree, PageIndex, MindMap, and Timeline are document-level knowledge artifacts. Their corresponding results can be viewed after knowledge compilation is complete.
Wiki is a knowledge-base-level knowledge artifact. After document knowledge compilation is complete, you still need to go to the Artifacts page of the knowledge base and click generate. The system then generates Wiki based on the compilation results in the current knowledge base.
Check the following items in sequence:
If the task execution fails, use the task execution logs to further check the specific cause.
The generation result of a knowledge artifact is affected by factors such as the original document content, selected template, default extraction model, and template configuration.
It is recommended to first check whether the parsing result of the original document is complete. Then adjust the global rules and the configuration parameters of the corresponding template based on the generated result, and execute knowledge compilation again.
No. After modifying template configuration, you need to use the updated template to execute knowledge compilation again before the new configuration is applied to the generated result.
Yes. You can select different knowledge compilation templates based on actual usage scenarios to generate different types of knowledge artifacts, such as Graph, Tree, PageIndex, MindMap, or Timeline.
Different templates have different knowledge organization methods and applicable scenarios. For details, refer to the template selection recommendations.
Re-Split Parser Output controls whether Compiler reorganizes and splits Parser output based on the processing requirements of the current template before knowledge compilation.
Chunker is used for document chunk processing in the Ingestion Pipeline.
They act at different processing stages. Re-Split Parser Output does not replace Chunker.
During knowledge compilation, the model is responsible for tasks such as entity extraction, content understanding, and structure generation.
Different models may differ in understanding capability, context length, and generation capability, so the final knowledge artifacts may also differ. Select an appropriate model based on document type, content complexity, and the knowledge compilation template used.
It is recommended to first confirm whether the original document parsing result is correct.
If the parsing result is normal, check and adjust the default extraction model, global rules, and specific configuration parameters of the current template in sequence. After adjustment, execute knowledge compilation again and compare whether the new knowledge artifact meets expectations.