From f6d29e17930a425f32ac32b179962ab46189f94a Mon Sep 17 00:00:00 2001
From: Magic_yuan <317617749@qq.com>
Date: Fri, 24 Jan 2025 11:01:32 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E5=A4=8D=E7=BC=93=E5=AD=98=E5=A4=84?=
 =?UTF-8?q?=E7=90=86=E7=9A=84=E8=BF=90=E8=A1=8C=E6=97=B6=E9=94=99=E8=AF=AF?=
 =?UTF-8?q?=20].func=20=20#=20["func"]=20=20^^^^=20AttributeError:=20'dict?=
 =?UTF-8?q?'=20object=20has=20no=20attribute=20'func'?=
MIME-Version: 1.0
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---
 lightrag/utils.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/lightrag/utils.py b/lightrag/utils.py
index ce556ab2..f36e03e2 100644
--- a/lightrag/utils.py
+++ b/lightrag/utils.py
@@ -479,9 +479,7 @@ async def handle_cache(hashing_kv, args_hash, prompt, mode="default"):
     quantized = min_val = max_val = None
     if is_embedding_cache_enabled:
         # Use embedding cache
-        embedding_model_func = hashing_kv.global_config[
-            "embedding_func"
-        ].func  # ["func"]
+        embedding_model_func = hashing_kv.global_config["embedding_func"]["func"]
         llm_model_func = hashing_kv.global_config.get("llm_model_func")
 
         current_embedding = await embedding_model_func([prompt])