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GeezerVison is showing github.com — docs: Update feast-mlflow integration blog images by Vperiodt · Pull Request #6464 · feast-dev/feast

docs: Update feast-mlflow integration blog images #6464

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Merged
ntkathole merged 2 commits into feast-dev:master from Vperiodt:update-blog
Jun 2, 2026

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docs: Update feast-mlflow integration blog images #6464

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9df4967
update blog images
Vperiodt Jun 2, 2026
bec009d
Merge branch 'master' into update-blog
Vperiodt Jun 2, 2026
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7 changes: 2 additions & 5 deletions 7 infra/website/docs/blog/feast-mlflow-native-integration.md
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Expand Up @@ -5,8 +5,8 @@ date: 2026-06-01
authors: ["Vanshika"]
---

<div class="hero-image">
<img src="/images/blog/feast-mlflow-native-integration.png" alt="Feast Native MLflow Integration" loading="lazy">
<div class="hero-image" style="width: auto; margin: 0 auto 64px; text-align: center;">
<img src="/images/blog/feast-mlflow-native-integration.png" alt="Feast Native MLflow Integration" style="width: auto; max-width: 100%;">
</div>

# Native MLflow Integration for Feast
Expand Down Expand Up @@ -259,13 +259,10 @@ pip install feast[mlflow]

Add the `mlflow:` block to your `feature_store.yaml`, start an MLflow tracking server, and run your training code. Features are automatically linked to experiments from the first retrieval.

For a complete end-to-end walkthrough — from feature definition through model training, registration, and feature resolution — see the [demo notebook](https://github.com/feast-dev/feast/tree/master/examples/mlflow).

<div style="display: flex; justify-content: center; margin: 2rem 0;">
<img src="/images/blog/end_to_end_lineage.png" alt="End-to-end lineage from data source to registered model" style="width: 90%; border-radius: 8px; box-shadow: 0 2px 8px rgba(0,0,0,0.1);" />
</div>


## Join the Conversation

We'd love to hear how you're using (or plan to use) the Feast–MLflow integration. Reach out on [Slack](https://slack.feast.dev/) or [GitHub](https://github.com/feast-dev/feast) — issues and PRs welcome!
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