Use the following notebook tutorials to learn more about Vertex AI Feature Store.
Online feature serving and fetching of BigQuery data with Vertex AI Feature Store Bigtable online serving
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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. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks |
Online feature serving and fetching of BigQuery data with Vertex AI Feature Store Optimized online serving
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In this tutorial, you learn how to use Optimized online serving in Vertex AI Feature Store for serving and fetching of feature values from BigQuery. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks |
Online feature serving and vector retrieval of BigQuery data with Vertex AI Feature Store
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In this tutorial, you learn how to use Vertex AI Feature Store for online serving and vector retrieval of feature values in BigQuery. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks |
Vertex AI Feature Store feature view Service Agents
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In this tutorial, you learn how to enable feature view Service Agents and grant each feature view access to the specific source data that is used. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks |
Vertex AI Feature Store based LLM grounding tutorial
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In this tutorial, you learn how to chunk user-provided data, and then generate embedding vectors for each chunk using a Large Language Model (LLM) that has embedding generation capabilities. The resulting embedding vector dataset can then be loaded into Vertex AI Feature Store, enabling fast feature retrieval and efficient online serving. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks |
Build a GenAI RAG application with Vertex AI Feature Store and BigQuery
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In this tutorial, you learn how to build a low-latency vector search system for your Gen AI application using BigQuery vector search and Vertex AI Feature Store. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks |
Configure IAM Policy in Vertex AI Feature Store
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In this tutorial, you learn how to configure an IAM policy to control access to resources and data stored within Vertex AI Feature Store. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks |