[Online feature serving and fetching of BigQuery data with Vertex AI Feature Store](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_fetching_bigquery_data_with_feature_store_optimized.ipynb)

```
Learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of feature values serving and fetching user journey.

The steps performed include:

- Provision an online feature store instance to host and serve data.
- Register a `BigQuery` view with the online feature store instance and set up the sync job.
- Use the online server to fetch feature values for online prediction.

```

   Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore/overview).


[Online feature serving and vector retrieval of BigQuery data with Vertex AI Feature Store](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/feature_store/online_feature_serving_and_vector_retrieval_bigquery_data_with_feature_store.ipynb)

```
Learn how to create and use an online feature store instance to host and serve data in `BigQuery` with `Vertex AI Feature Store` in an end to end workflow of features serving and vector retrieval user journey.

The steps performed include:

- Provision an online feature store instance to host and serve data.
- Create an online feature store instance to serve a `BigQuery` table.
- Use the online server to search nearest neighbors.

```

   Learn more about [Vertex AI Feature Store](https://cloud.google.com/vertex-ai/docs/featurestore/overview).