Redis

Implementation

In this configuration, one Redis hash is created per feature. It maps entities to their feature value. A metadata hash is also stored in Redis that allows Redis to maintain its own state.

Configuration

First we have to add a declarative Redis configuration in Python. In the following example, only name is required, but the other parameters are available.

redis_config.py

import featureform as ff

ff.register_redis(
    name = "redis",
    description = "Example inference store",
    team = "Featureform",
    host = "0.0.0.0",
    port = 6379,
    password = "",
    db = 0,
)

Once our config file is complete, we can apply it to our Featureform deployment

featureform apply redis_config.py --host $FEATUREFORM_HOST

We can re-verify that the provider is created by checking the Providers tab of the Feature Registry.

Mutable Configuration Fields

description
password

MongoDB Overview

⌘I

Overview

Using Featureform

Featureform Resource Types

LLMs, Embeddings, and Vector Databases

Common Use Cases and Examples

Supported Infrastructure Providers

Deployment

Implementation

Configuration

Mutable Configuration Fields

​Implementation

​Configuration

​Mutable Configuration Fields

Implementation

Configuration

Mutable Configuration Fields