仪评指标联分析模块

bbit_ai/app/config/milvus.py

@@ -1,10 +1,10 @@
 from langchain_milvus import BM25BuiltInFunction, Milvus
-from config.llm import embeddings
+from config.llm import llmEmbeddings
 
 URI = "http://10.10.10.9:19530"
 
 knVectorstore = Milvus(
-    embedding_function=embeddings,
+    embedding_function=llmEmbeddings,
     connection_args={"uri": URI, "token": "root:Milvus", "db_name": "bbit_ai_lab"},
     collection_name="knowledge",
     index_params={"index_type": "FLAT", "metric_type": "L2"},
@@ -19,7 +19,7 @@ knVectorstore = Milvus(
     drop_old=False,  # set to True if seeking to drop the collection with that name if it exists
 )
 memVectorstore = Milvus(
-    embedding_function=embeddings,
+    embedding_function=llmEmbeddings,
     connection_args={"uri": URI, "token": "root:Milvus", "db_name": "bbit_ai_lab"},
     collection_name="memory",
     index_params={"index_type": "FLAT", "metric_type": "L2"},