[docs] Add Feast integration to Ray ecosystem

[ntkathole]

Description

Add Feast feature store to Ray Ecosystem documentation, highlighting its integration with Ray as a distributed compute backend. https://feast.dev/blog/feast-ray-distributed-processing/

Feast is an open-source feature store for machine learning that uses Ray as its distributed compute backend through two key integrations:

1. Ray Offline Store - Uses Ray for distributed data I/O operations
2. Ray Compute Engine - Uses Ray for distributed feature processing, including:

• Point-in-time joins
• Batch materialization
• Feature transformations

This PR adds Feast to the Ray Ecosystem documentation page (ray-overview/ray-libraries.rst) to increase visibility of this integration for Ray users who may benefit from using Feast for feature engineering at scale.

Documentation screenshot

[gemini-code-assist]

Code Review

This pull request adds documentation for the Feast integration to the Ray ecosystem page. A new SVG logo for Feast is added, and a new card is included in the list of integrations. My review suggests one improvement: the new card for Feast should be placed in the correct alphabetical position in the list to adhere to the documentation's stated ordering.