use langchain-azure-ai instead to cope with warning

Author: ks6088ts

pyproject.toml

@@ -8,6 +8,7 @@ dependencies = [
     "azure-cosmos>=4.9.0",
     "elasticsearch>=9.1.0",
     "httpx>=0.28.1",
+    "langchain-azure-ai>=0.1.4",
     "langchain-community>=0.3.27",
     "langchain-openai>=0.3.28",
     "langchain-text-splitters>=0.3.9",

template_langgraph/tools/cosmosdb_tool.py

@@ -1,9 +1,7 @@
 from functools import lru_cache
 
 from azure.cosmos import CosmosClient, PartitionKey
-from langchain_community.vectorstores.azure_cosmos_db_no_sql import (
-    AzureCosmosDBNoSqlVectorSearch,
-)
+from langchain_azure_ai.vectorstores.azure_cosmos_db_no_sql import AzureCosmosDBNoSqlVectorSearch
 from langchain_core.documents import Document
 from langchain_core.tools import tool
 from pydantic import BaseModel, Field
@@ -74,6 +72,10 @@ def __init__(
                 "partition_key": PartitionKey(path=settings.cosmosdb_partition_key),
             },
             cosmos_database_properties={},
+            vector_search_fields={
+                "text_field": "text",
+                "embedding_field": "embedding",
+            },
             full_text_policy={
                 "defaultLanguage": "en-US",
                 "fullTextPaths": [