Proposal: Donate Feast to Kubeflow

[franciscojavierarceo]

I am proposing donating Feast to Kubeflow (kubeflow/community#804).

I have copied the benefits I outlined in the Kubeflow issue:

Benefits

1. Incorporating Feast into Kubeflow (and the manifest) will help formally fill a needed gap for Kubeflow in the AI/ML Lifecycle (image for reference).
   

2. It will also allow the Data WG to have an answer for the online serving of features. Additionally, this will nicely complement the Spark Operator as Feast supports batch and stream processing using Spark as an offline store.

3. The Feast community is healthy and the users will further grow the Kubeflow community.

4. Feast is expanding its scope to support Generative AI and RAG as a first-class citizen (retrieval/vector search in particular), which will help ensure Kubeflow has a solution for RAG.

5. With the inclusion of Feast, we can provide end-to-end demos of development and production AI/ML and we can also provide suggested patterns for stitching the Kubeflow products together so that MLOps engineers, ML Engineers, and AI engineers can be impactful immediately after deploying Kubeflow.

6. I am just as committed to Feast as I have ever been and I believe this will meaningfully enhance Kubeflow and result in Kubeflow getting the benefit of my contributions and the contributions of the Feast community.

Beyond the benefits to Kubeflow, I believe it will provide significant benefits to Feast in growing our community and embedding ourselves in a complete platform. This will also allow both communities (particularly Data Scientists/MLEs) to benefit from the GenAI/LLM/NLP work that I have been doing (see here: #4964 and #4364).

I have discussed this with the Feast maintainers and have gotten approval. We also wanted to have this discussion open in the public to welcome any feedback from users.