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Add comment to clarify LLM cache setting for entity extraction

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This commit is contained in:
yangdx 2025-02-02 07:29:01 +08:00
parent 6e1b5d6ce6
commit 7ea1856699
1 changed files with 2 additions and 2 deletions
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4
lightrag/api/lightrag_server.py
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@ -919,7 +919,7 @@ def create_app(args):
vector_db_storage_cls_kwargs={ vector_db_storage_cls_kwargs={
"cosine_better_than_threshold": args.cosine_threshold "cosine_better_than_threshold": args.cosine_threshold
}, },
enable_llm_cache_for_entity_extract=False, enable_llm_cache_for_entity_extract=False, # set to True for debuging to reduce llm fee
embedding_cache_config={ embedding_cache_config={
"enabled": True, "enabled": True,
"similarity_threshold": 0.95, "similarity_threshold": 0.95,
@ -948,7 +948,7 @@ def create_app(args):
vector_db_storage_cls_kwargs={ vector_db_storage_cls_kwargs={
"cosine_better_than_threshold": args.cosine_threshold "cosine_better_than_threshold": args.cosine_threshold
}, },
enable_llm_cache_for_entity_extract=False, enable_llm_cache_for_entity_extract=False, # set to True for debuging to reduce llm fee
embedding_cache_config={ embedding_cache_config={
"enabled": True, "enabled": True,
"similarity_threshold": 0.95, "similarity_threshold": 0.95,