Optimized online serving

Related topics

• Bigtable online serving is an alternative to Optimized online serving From the official documentation: “Depending on the type of online serving you've configured for your online store, you can serve feature values in one of the following ways: - Fetch feature values by using Bigtable online serving. - Fetch feature values by using Optimized online serving with a public endpoint.”
• Optimized online serving works with Private Service Connect From the official documentation: “Fetch feature values by using Optimized online serving with a Private Service Connect endpoint.”
• Optimized online serving is part of Vertex AI Feature Store From the official documentation: “Vertex AI Feature Store offers the following types of online serving that you can use to serve features for online predictions: - [Bigtable online serving](#bigtable_serving) - [Optimized online serving](#optimized_serving)”
• Optimized online serving is part of Agent Platform Feature Store From the official documentation: “Optimized online serving in Agent Platform Feature Store supports embedding management.”
• BigQuery works with Knowledge Catalog From the official documentation: “Some Knowledge Catalog functionalities trigger job execution using BigQuery.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Agent Platform Feature Store works with BigQuery From the official documentation: “In this tutorial, you learn how to use Bigtable online serving in Vertex AI Feature Store for online serving and fetching of feature values in BigQuery.”
• BigQuery works with Vertex AI Feature Store From the official documentation: “In the new Vertex AI Feature Store, BigQuery serves as the offline store.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• Agent Platform Feature Store is part of Gemini Enterprise Agent Platform From the official documentation: “In the Agent Platform section of the Google Cloud console, go to the **Feature Store** page.”
• Gemini Enterprise Agent Platform works with Private Service Connect From the official documentation: “Use Private Service Connect to access Agent Platform from on-premises”
• Agent Platform Feature Store works with Knowledge Catalog From the official documentation: “Vertex AI Feature Store is integrated with Knowledge Catalog to track feature metadata.”
• BigQuery works with Bigtable online serving From the official documentation: “If you want to use continuous data sync to sync data from the BigQuery data source to your feature views in near real-time, use Bigtable online serving.”
• BigQuery works with Private Service Connect From the official documentation: “Click the private zone that contains the DNS records for the Private Service Connect endpoints, which you created to allow BigQuery Toolkit for SAP to privately connect to the BigQuery and IAM APIs.”
• Bigtable online serving is part of Agent Platform Feature Store From the official documentation: “In this tutorial, you learn how to use Bigtable online serving in Vertex AI Feature Store for online serving and fetching of feature values in BigQuery.”
• Bigtable online serving is part of Vertex AI Feature Store From the official documentation: “In this tutorial, you learn how to use Bigtable online serving in Vertex AI Feature Store for online serving and fetching of feature values in BigQuery.”
• Cloud Monitoring works with Gemini Enterprise Agent Platform From the official documentation: “Gemini Enterprise Agent Platform exports metrics to [Cloud Monitoring](/monitoring/docs).”
• Cloud Monitoring works with Knowledge Catalog From the official documentation: “Knowledge Catalog is integrated with Cloud Monitoring, which collects metrics, events, and metadata from Knowledge Catalog services.”
• Cloud Monitoring works with Private Service Connect From the official documentation: “Private Service Connect exposes key metrics to Cloud Monitoring that give you insights into your Private Service Connect connections.”
• Cloud Monitoring works with Vertex AI Feature Store From the official documentation: “In Cloud Monitoring, the monitored resource type for an online store instance is [`aiplatform.googleapis.com/FeatureOnlineStore`](/monitoring/api/resources#tag_aiplatform.googleapis.com/FeatureOnlineStore).”
• Gemini Enterprise Agent Platform works with Knowledge Catalog From the official documentation: “Knowledge Catalog provides a way to search for your Agent Platform models across projects and regions.”
• Knowledge Catalog works with Vertex AI Feature Store From the official documentation: “Knowledge Catalog is also integrated with Vertex AI Feature Store, offering similar capabilities.”
• online store is part of Agent Platform Feature Store From the official documentation: “In a typical workflow of a Feature Store setup, you first prepare your SAP data source in BigQuery, register your data sources by creating feature groups and features, and set up online store and feature view resources.”
• online store is part of Vertex AI Feature Store From the official documentation: “To enable online serving of features, use the Vertex AI Feature Store `CreateFeatureOnlineStore` API to set up a `FeatureOnlineStore` instance.”