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Reorder language and completion delimiter instructions in prompt

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yangdx 2025-09-04 23:05:16 +08:00
parent 2c551cb5db
commit 3f56c6820c
1 changed files with 2 additions and 2 deletions
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lightrag/prompt.py
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@ -26,8 +26,8 @@ For a given text and a list of entity types, extract all entities and their rela
- relationship_description: Explain the nature of the relationship between the source and target entities, providing a clear rationale for their connection - relationship_description: Explain the nature of the relationship between the source and target entities, providing a clear rationale for their connection
4. Format each relationship as: (relationship{tuple_delimiter}<source_entity>{tuple_delimiter}<target_entity>{tuple_delimiter}<relationship_keywords>{tuple_delimiter}<relationship_description>) 4. Format each relationship as: (relationship{tuple_delimiter}<source_entity>{tuple_delimiter}<target_entity>{tuple_delimiter}<relationship_keywords>{tuple_delimiter}<relationship_description>)
5. Use `{tuple_delimiter}` as field delimiter. Use `{record_delimiter}` as the entity or relation list delimiter. 5. Use `{tuple_delimiter}` as field delimiter. Use `{record_delimiter}` as the entity or relation list delimiter.
6. Return identified entities and relationships in {language}. 6. Output `{completion_delimiter}` when all the entities and relationships are extracted.
7. Output `{completion_delimiter}` when all the entities and relationships are extracted. 7. Ensure the output language is {language}.
---Quality Guidelines--- ---Quality Guidelines---
- Only extract entities and relationships that are clearly defined and meaningful in the context - Only extract entities and relationships that are clearly defined and meaningful in the context