docs: Adding blog post for Ray#5705
Conversation
08fb675 to
e035fe1
Compare
franciscojavierarceo
left a comment
There was a problem hiding this comment.
can we link to this under the genai page?
Signed-off-by: ntkathole <[email protected]>
There was a problem hiding this comment.
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 |
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
| --- | ||
| 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 |
There was a problem hiding this comment.
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.
| date: 2025-10-29 | |
| date: 2024-06-13 |
What this PR does / why we need it:
This PR modified ray docs and adds blog post for Ray + Feast