Serve features

Read materialized features from a Redis Feature Form feature view at inference time.

Read materialized features from a feature view by calling ff.Client.serve(...). This page assumes the feature view exists and the online store is ready — the Quickstart's demo_customer_feature_view is the canonical example.

The examples use <workspace-id> as the workspace UUID. Get yours with ff workspace list. See Manage workspaces for the full workspace lifecycle.

Verify the feature view exists 

ff graph feature-view get demo_customer_feature_view --workspace <workspace-id>

Minimal Python workflow 

import featureform as ff

client = ff.Client(host="127.0.0.1:9090", insecure=True, workspace="<workspace-id>")
features = client.serve("demo_customer_feature_view", entity="C1001")
print(features)

The example connects to a local server with TLS off. For a deployed server, change host and set insecure=False.

If serving fails

  • The feature view isn't ready. Confirm with ff graph feature-view get and re-check after materialization completes.
  • The online provider is unavailable or not registered. Confirm with ff provider list --workspace <workspace-id>.
  • The caller lacks the required RBAC permission. Serving values and reading serving metadata are governed by separate permissions; see the Permissions table.
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