In the inference store 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.
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
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import featureform as ffff.register_redis( name = "redis", description = "Example inference store", team = "Featureform", host = "0.0.0.0", port = 6379, password = "", db = 0,)client.apply()