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Vertex AI Feature Store

gcpML platformgoogle-vertex-ai-feature-store

Managed feature serving over BigQuery source data with an online store for low-latency reads.

Provider
gcp
Kind
ML platform
Category
Compute
Official docs
https://cloud.google.com/vertex-ai/docs/featurestore/latest/overview
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
computeInstancesinteger—no—inherited
embeddingRetrieval · component propertyboolean—nofalseinherited
experimentTrackingboolean—notrue▸ false
gpuEnabledboolean—no—inherited
managedboolean—nofalse▸ true
modelRegistryboolean—notrue▸ false
offlineSource · component propertyenumbigquerynobigqueryinherited
onlineServingType · component propertyenumbigtable | optimizedno—inherited
privateServiceConnect · component propertyboolean—nofalseinherited
publicAccessboolean—no—inherited
Rules that apply · 1

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

Stateful node without zone redundancyerror
stateful-node-without-zone-redundancy

A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.

  • — all of these hold:
  • — the node's `stateless` is false
  • — the node sits inside exactly 1 availability-zone group
  • — this does not hold:
  • — the node sits inside at least one cell group
Use it in a design
nodes:
  - { id: "vertex-ai-feature-store", component: "google-vertex-ai-feature-store" }
Other ML platform products · 61
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and 21 more → ML platform page
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Vertex AI Feature Store: managed feature serving where BigQuery is the offline source of truth and
# a feature online store serves the values ("Vertex AI Feature Store overview"). It is a serving
# surface, not a workspace, so it carries neither a model registry nor experiment tracking.
schemaVersion: "1"
type: "component"
id: "google-vertex-ai-feature-store"
kind: "ml-platform"
provider: "gcp"
docs: "https://cloud.google.com/vertex-ai/docs/featurestore/latest/overview"
defaults:
  managed: true
  modelRegistry: false
  experimentTracking: false
properties:
  offlineSource:
    type: "enum"
    values: ["bigquery"]
    default: "bigquery"
  onlineServingType:
    type: "enum"
    values: ["bigtable", "optimized"]
  embeddingRetrieval:
    type: "boolean"
    default: false
  privateServiceConnect:
    type: "boolean"
    default: false

The same page as markdown, for an agent: /catalogue/components/google-vertex-ai-feature-store.md