docs: remove outdated advanced configuration section for NVIDIA NIM embedding

Author: Mini256

src/ai/integrations/embedding-nvidia-nim.md

@@ -179,56 +179,3 @@ Create a table with a vector field that uses an NVIDIA NIM model to generate emb
     ORDER BY _distance ASC
     LIMIT 3;
     ```
-
-## Advanced Configuration
-
-### Custom API Base URL
-
-If you're using a custom NVIDIA NIM deployment or need to specify a different endpoint, you can configure the API base URL:
-
-=== "Python"
-
-    ```python
-    tidb_client.configure_embedding_provider(
-        provider="nvidia_nim",
-        api_key="{your-nvidia-api-key}",
-        api_base="https://your-custom-nim-endpoint.com/v1",
-    )
-    ```
-
-=== "SQL"
-
-    ```sql
-    SET @@GLOBAL.TIDB_EXP_EMBED_NVIDIA_NIM_API_BASE = "https://your-custom-nim-endpoint.com/v1";
-    ```
-
-### Model-Specific Parameters
-
-NVIDIA NIM models support various parameters that can be passed through the embedding function:
-
-=== "Python"
-
-    ```python
-    embedding: list[float] = EmbeddingFunction(
-        model_name="nvidia/nv-embed-v1",
-        extra_params={
-            "truncate": "END",
-            "max_length": 512
-        }
-    ).VectorField(source_field="content")
-    ```
-
-=== "SQL"
-
-    ```sql
-    CREATE TABLE sample_documents (
-        `id`        INT PRIMARY KEY,
-        `content`   TEXT,
-        `embedding` VECTOR(4096) GENERATED ALWAYS AS (EMBED_TEXT(
-            "nvidia/nv-embed-v1",
-            `content`,
-            '{"truncate": "END", "max_length": 512}'
-        )) STORED
-    );
-    ```
-