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fix bug of example prompt

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Yizhi Zhang
2024-12-03 22:25:50 +08:00
parent 685f7b1e80
commit 3a6645b78d
2 changed files with 11 additions and 1 deletions
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lightrag/prompt.py
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@@ -19,7 +19,7 @@ Use {language} as output language.
- entity_name: Name of the entity, use same language as input text. If English, capitalized the name.
- entity_type: One of the following types: [{entity_types}]
- entity_description: Comprehensive description of the entity's attributes and activities
Format each entity as ("entity"{tuple_delimiter}<entity_name>{tuple_delimiter}<entity_type>{tuple_delimiter}<entity_description>
Format each entity as ("entity"{tuple_delimiter}<entity_name>{tuple_delimiter}<entity_type>{tuple_delimiter}<entity_description>)
2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
For each pair of related entities, extract the following information: