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What this PR does / why we need it:

This PR modified ray docs and adds blog post for Ray + Feast

@ntkathole ntkathole self-assigned this Oct 29, 2025
@ntkathole ntkathole requested a review from a team as a code owner October 29, 2025 15:56
@ntkathole ntkathole force-pushed the ray_blog branch 2 times, most recently from 08fb675 to e035fe1 Compare October 29, 2025 15:58
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can we link to this under the genai page?

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Pull Request Overview

This PR adds comprehensive documentation for Feast's Ray integration, highlighting its distributed processing capabilities for feature engineering and RAG applications. The changes include a new blog post, updates to offline store documentation, and enhancements to compute engine and GenAI guides.

  • New blog post explaining Feast + Ray integration for distributed ML workloads
  • Documentation updates adding Ray to offline store functionality matrices
  • Quick start sections added to Ray compute engine and offline store docs

Reviewed Changes

Copilot reviewed 7 out of 8 changed files in this pull request and generated 1 comment.

Show a summary per file
File Description
infra/website/docs/blog/feast-ray-distributed-processing.md New blog post introducing Feast's Ray integration for distributed processing and RAG applications
docs/reference/offline-stores/ray.md Added quick start section with Ray template instructions
docs/reference/offline-stores/overview.md Updated functionality matrices to include Ray offline store capabilities
docs/reference/offline-stores/README.md Added reference link to ray.md documentation
docs/reference/compute-engine/ray.md Added quick start section for Ray RAG template and native transformations
docs/getting-started/genai.md Added section on Ray integration for scaling RAG applications
docs/getting-started/components/compute-engine.md Updated RayComputeEngine status from ❌ to ✅ indicating production readiness

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---
title: "Scaling ML with Feast and Ray: Distributed Processing for Modern AI Applications"
description: "Learn how Feast's integration with Ray enables distributed processing for both traditional feature engineering and modern RAG applications, with support for Kubernetes deployment through KubeRay."
date: 2025-10-29
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Copilot AI Oct 29, 2025

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The date '2025-10-29' is set to October 2025, which is in the future. Blog post dates should reflect the actual publication date. Please update to the correct date.

Suggested change
date: 2025-10-29
date: 2024-06-13

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lolololol

@franciscojavierarceo franciscojavierarceo merged commit 398fdcf into feast-dev:master Oct 29, 2025
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2 participants