Fix user_id functionality (#2548)

mem0/configs/vector_stores/azure_ai_search.py

@@ -7,7 +7,7 @@ class AzureAISearchConfig(BaseModel):
     collection_name: str = Field("mem0", description="Name of the collection")
     service_name: str = Field(None, description="Azure AI Search service name")
     api_key: str = Field(None, description="API key for the Azure AI Search service")
-    embedding_model_dims: int = Field(None, description="Dimension of the embedding vector")
+    embedding_model_dims: int = Field(1536, description="Dimension of the embedding vector")
     compression_type: Optional[str] = Field(
         None, description="Type of vector compression to use. Options: 'scalar', 'binary', or None"
     )

mem0/configs/vector_stores/langchain.py

@@ -7,7 +7,9 @@ class LangchainConfig(BaseModel):
     try:
         from langchain_community.vectorstores import VectorStore
     except ImportError:
-        raise ImportError("The 'langchain_community' library is required. Please install it using 'pip install langchain_community'.")
+        raise ImportError(
+            "The 'langchain_community' library is required. Please install it using 'pip install langchain_community'."
+        )
     VectorStore: ClassVar[type] = VectorStore
 
     client: VectorStore = Field(description="Existing VectorStore instance")