Title: Feast - The Open Source Feature Store for Machine Learning
Open Graph Title: Feast - The Open Source Feature Store for Machine Learning
Description: Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Open Graph Description: Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Opengraph URL: https://feast.dev/
Domain: feast.dev
| og:locale | en_US |
| og:type | website |
| og:site_name | Feast |
| og:image | https://feast.dev/wp-content/uploads/2023/01/feast-og@2x.png |
| og:image:width | 1201 |
| og:image:height | 630 |
| og:image:type | image/png |
| twitter:card | summary_large_image |
| twitter:image | https://feast.dev/wp-content/uploads/2023/01/feast-og@2x.png |
Links:
| FEAST | https://feast.dev/ |
| RELEASES | https://github.com/feast-dev/feast/releases |
| DOCS | https://docs.feast.dev/ |
| BLOG | https://feast.dev/blog |
| GITHUB | https://github.com/feast-dev/feast |
| COMMUNITY | https://slack.feast.dev/ |
| RELEASES | https://github.com/feast-dev/feast/releases |
| DOCS | https://docs.feast.dev/ |
| BLOG | https://feast.dev/blog |
| GITHUB | https://github.com/feast-dev/feast |
| COMMUNITY | https://slack.feast.dev/ |
| Blog Scaling ML with Feast and Ray: Distributed Processing for Modern AI Applications 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. | https://feast.dev/blog/feast-ray-distributed-processing |
| Blog From Raw Data to Model Serving: A Blueprint for the AI/ML Lifecycle with Kubeflow and Feast We'll walk through the entire ML lifecycle—from data preparation to live inference—leveraging Feast and the Kubeflow platform to create a cohesive, production-grade MLOps workflow. | https://feast.dev/blog/kubeflow-fraud-detection-e2e |
| Blog Retrieval Augmented Generation with Feast How Feast empowers ML Engineers to ship RAG applications to Production. | https://feast.dev/blog/rag-with-feast |
| Join Community | https://slack.feast.dev/ |
| Read Docs | https://docs.feast.dev/ |
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