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website/www/site/content/en/documentation/transforms/python/elementwise/enrichment-bigtable.md

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+---
+title: "Enrichment"
+---
+<!--
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+
+# Enrichment transform
+
+{{< localstorage language language-py >}}
+
+<table>
+  <tr>
+    <td>
+      <a>
+      {{< button-pydoc path="apache_beam.transforms" class="Enrichment" >}}
+      </a>
+   </td>
+  </tr>
+</table>
+
+
+The following example demonstrates how to create a pipeline that does data enrichment with Cloud Bigtable.
+
+## Example: BigTableEnrichmentHandler
+
+The data stored in the Bigtable cluster uses the following format:
+
+{{ table }}
+|  Row key  |  product:product_id  |  product:product_name  |  product:product_stock  |
+|:---------:|:--------------------:|:----------------------:|:-----------------------:|
+|     1     |          1           |        pixel 5         |            2            |
+|     2     |          2           |        pixel 6         |            4            |
+|     3     |          3           |        pixel 7         |           20            |
+|     4     |          4           |        pixel 8         |           10            |
+{{ /table }}
+
+{{< highlight language="py" >}}
+{{< code_sample "sdks/python/apache_beam/examples/snippets/transforms/elementwise/enrichment.py" enrichment_with_bigtable >}}
+{{</ highlight >}}
+
+{{< paragraph class="notebook-skip" >}}
+Output:
+{{< /paragraph >}}
+{{< highlight class="notebook-skip" >}}
+{{< code_sample "sdks/python/apache_beam/examples/snippets/transforms/elementwise/enrichment_test.py" enrichment_with_bigtable >}}
+{{< /highlight >}}
+
+## Related transforms
+
+Not applicable.
+
+{{< button-pydoc path="apache_beam.transforms" class="Enrichment" >}}

website/www/site/content/en/documentation/transforms/python/elementwise/enrichment.md

@@ -23,41 +23,28 @@ limitations under the License.
   <tr>
     <td>
       <a>
-      {{< button-pydoc path="apache_beam.transforms" class="Enrichment" >}}
+      {{< button-pydoc path="apache_beam.transforms.enrichment" class="Enrichment" >}}
       </a>
    </td>
   </tr>
 </table>
 
 
 The enrichment transform lets you dynamically enrich data in a pipeline by doing a key-value lookup to a remote service. The transform uses [`RequestResponeIO`](https://beam.apache.org/releases/pydoc/current/apache_beam.io.requestresponseio.html#apache_beam.io.requestresponseio.RequestResponseIO) internally. This feature uses client-side throttling to ensure that the remote service isn't overloaded with requests. If service-side errors occur, like `TooManyRequests` and `Timeout` exceptions, it retries the requests by using exponential backoff.
+
+This transform is available in Apache Beam 2.54.0 and later versions.
 
-In Apache Beam 2.54.0 and later versions, the transform includes a built-in enrichment handler for [Bigtable](https://cloud.google.com/bigtable/docs/overview).
+## Examples
 
-## Use Bigtable to enrich data
+The following examples demonstrates how to create a pipeline that use the enrichment transform to enrich data from external services.
 
-The following example demonstrates how to create a pipeline that use the enrichment transform with [`BigTableEnrichmentHandler`](https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler).
-
-The data stored in the Bigtable cluster uses the following format:
-
-|  Row key  |  product:product_id  |  product:product_name  |  product:product_stock  |
-|:---------:|:--------------------:|:----------------------:|:-----------------------:|
-|     1     |          1           |        pixel 5         |            2            |
-|     2     |          2           |        pixel 6         |            4            |
-|     3     |          3           |        pixel 7         |           20            |
-|     4     |          4           |        pixel 8         |           10            |
-
-
-{{< highlight language="py" >}}
-{{< code_sample "sdks/python/apache_beam/examples/snippets/transforms/elementwise/enrichment.py" enrichment_with_bigtable >}}
-{{</ highlight >}}
-
-{{< paragraph class="notebook-skip" >}}
-Output:
-{{< /paragraph >}}
-{{< highlight class="notebook-skip" >}}
-{{< code_sample "sdks/python/apache_beam/examples/snippets/transforms/elementwise/enrichment_test.py" enrichment_with_bigtable >}}
-{{< /highlight >}}
+{{< table >}}
+| Service                                       | Beam version | Example                                     |
+|:----------------------------------------------|:-------------|:--------------------------------------------|
+| Google Cloud Bigtable                         | \>= 2.54.0   | Bigtable Enrichment                         |
+| Google Cloud Vertex AI Feature Store          | \>= 2.55.0   | Vertex AI Feature Store Enrichment          |
+| Google Cloud Vertex AI Feature Store (Legacy) | \>= 2.55.0   | Vertex AI Feature Store (Legacy) Enrichment |
+{{< /table >}}
 
 ## Related transforms
 

website/www/site/content/en/documentation/transforms/python/elementwise/runinference.md

@@ -23,7 +23,7 @@ limitations under the License.
   <tr>
     <td>
       <a>
-      {{< button-pydoc path="apache_beam.ml.inference" class="RunInference" >}}
+      {{< button-pydoc path="apache_beam.ml.inference.base" class="RunInference" >}}
       </a>
    </td>
   </tr>