fix databricks docs (#10858)

docs/extras/integrations/providers/databricks.md

@@ -13,12 +13,13 @@ Databricks embraces the LangChain ecosystem in various ways:
 
 Databricks connector for the SQLDatabase Chain
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-You can connect to [Databricks runtimes](https://docs.databricks.com/runtime/index.html) and [Databricks SQL](https://www.databricks.com/product/databricks-sql) using the SQLDatabase wrapper of LangChain. See the notebook [Connect to Databricks](/docs/ecosystem/integrations/databricks/databricks.html) for details.
+You can connect to [Databricks runtimes](https://docs.databricks.com/runtime/index.html) and [Databricks SQL](https://www.databricks.com/product/databricks-sql) using the SQLDatabase wrapper of LangChain. 
+See the notebook [Connect to Databricks](/docs/use_cases/qa_structured/integrations/databricks) for details.
 
 Databricks MLflow integrates with LangChain
 -------------------------------------------
 
-MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. See the notebook [MLflow Callback Handler](/docs/ecosystem/integrations/mlflow_tracking.ipynb) for details about MLflow's integration with LangChain.
+MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. See the notebook [MLflow Callback Handler](/docs/integrations/providers/mlflow_tracking) for details about MLflow's integration with LangChain.
 
 Databricks provides a fully managed and hosted version of MLflow integrated with enterprise security features, high availability, and other Databricks workspace features such as experiment and run management and notebook revision capture. MLflow on Databricks offers an integrated experience for tracking and securing machine learning model training runs and running machine learning projects. See [MLflow guide](https://docs.databricks.com/mlflow/index.html) for more details.
 
@@ -27,7 +28,7 @@ Databricks MLflow makes it more convenient to develop LangChain applications on
 Databricks MLflow AI Gateway
 ----------------------------
 
-See [MLflow AI Gateway](/docs/ecosystem/integrations/mlflow_ai_gateway).
+See [MLflow AI Gateway](/docs/integrations/providers/mlflow_ai_gateway).
 
 Databricks as an LLM provider
 -----------------------------