Removed unsupported ft.Aggregate parameters, update notebooks and documentation.

Author: nkanu17

docs/api/query.rst

@@ -128,19 +128,13 @@ HybridQuery
 
    AggregateHybridQuery (and the deprecated HybridQuery) support runtime parameters for the vector search component.
 
-   **Note:** The ``epsilon`` parameter is only supported for range queries (VectorRangeQuery), not for KNN queries used in hybrid search.
+   **Note:** AggregateHybridQuery uses FT.AGGREGATE commands which only support the ``ef_runtime`` parameter for HNSW indexes. SVS-VAMANA runtime parameters (``search_window_size``, ``use_search_history``, ``search_buffer_capacity``) are NOT supported in FT.AGGREGATE commands. For full runtime parameter support including SVS-VAMANA, use VectorQuery or VectorRangeQuery which use FT.SEARCH commands.
 
-   **HNSW Parameters:**
-
-   - ``ef_runtime``: Controls search accuracy for the vector component
+   **Supported Runtime Parameter:**
 
-   **SVS-VAMANA Parameters:**
-
-   - ``search_window_size``: Size of search window for KNN searches
-   - ``use_search_history``: Whether to use search buffer (OFF/ON/AUTO)
-   - ``search_buffer_capacity``: Tuning parameter for 2-level compression
+   - ``ef_runtime``: Controls search accuracy for HNSW indexes (higher = better recall, slower search)
 
-   Example with HNSW:
+   Example:
 
    .. code-block:: python
 
@@ -152,22 +146,7 @@ HybridQuery
           vector=[0.1, 0.2, 0.3],
           vector_field_name="embedding",
           alpha=0.7,
-          ef_runtime=150  # HNSW parameter
-      )
-
-   Example with SVS-VAMANA:
-
-   .. code-block:: python
-
-      query = AggregateHybridQuery(
-          text="search query",
-          text_field_name="description",
-          vector=[0.1, 0.2, 0.3],
-          vector_field_name="embedding",
-          alpha=0.7,
-          search_window_size=20,    # SVS-VAMANA
-          use_search_history='ON',  # SVS-VAMANA
-          search_buffer_capacity=30 # SVS-VAMANA
+          ef_runtime=150  # Only HNSW ef_runtime is supported
       )