# Feast

Feast is an open-source feature store for machine learning. It lets teams define, manage, discover and serve features for both training and online inference. It also delivers structured data to AI and LLM applications, including vector similarity retrieval for RAG.

Page: https://slateindex.ai/brand/feast · data of 2026-11-02

## Facts

- Founded: 2018
- Company type: Open source project
- Deployment: Self-hosted; Kubernetes, and AWS Lambda (alpha)
- Best for: Machine learning and AI teams that need the same feature definitions for training and inference.

## Products

- Feast: Open-source feature store that manages and serves features for training and real-time inference, with an offline store, a low-latency online store and a feature server.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| MLOps Platforms | 29 of 61 | 2.0 | 4 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 1.9 | 7.4% |
| google_ai_mode | 3.1 | 3.7% |
| perplexity | 0.9 | 3.7% |

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “Feast AI visibility profile”, https://slateindex.ai/brand/feast, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).