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model_garden/notebooks/official/feature_store
cddfb9cb09 Featurestore notebook egen edited (#3167)
* Update build_model_experimentation_lineage_with_prebuild_code.ipynb

added colab enterprise logo and link

* Update build_model_experimentation_lineage_with_prebuild_code.ipynb

hope I fixed the JSON issue

* fix: remove new changes

* Update vertex_ai_feature_store_based_llm_grounding_tutorial.ipynb

remove back ticks from product/feature names

* Update vertex_ai_feature_store_feature_view_service_agents.ipynb

remove back ticks

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Co-authored-by: Katie Nguyen <21978337+katiemn@users.noreply.github.com>
2024-06-27 23:50:58 +00:00
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2024-04-19 15:45:07 +00:00

Online feature serving and fetching of BigQuery data with Vertex AI Feature Store

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.

Online feature serving and vector retrieval of BigQuery data with Vertex AI Feature Store

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.