Milvus

Description

The Milvus online store provides support for materializing feature values into Milvus.

• The data model used to store feature values in Milvus is described in more detail here.

Getting started

In order to use this online store, you'll need to install the Milvus extra (along with the dependency needed for the offline store of choice). E.g.

pip install 'feast[milvus]'

You can get started by using any of the other templates (e.g. feast init -t gcp or feast init -t snowflake or feast init -t aws), and then swapping in Redis as the online store as seen below in the examples.

Examples

Connecting to a local MilvusDB instance:

feature_store.yaml

project: my_feature_repo
registry: data/registry.db
provider: local
online_store:
  type: milvus
  path: "data/online_store.db"
  connection_string: "localhost:6379"
  embedding_dim: 128
  index_type: "FLAT"
  metric_type: "COSINE"
  username: "username"
  password: "password"

The full set of configuration options is available in MilvusOnlineStoreConfig.

Functionality Matrix

The set of functionality supported by online stores is described in detail here. Below is a matrix indicating which functionality is supported by the Milvus online store.

	Milvus
write feature values to the online store	yes
read feature values from the online store	yes
update infrastructure (e.g. tables) in the online store	yes
teardown infrastructure (e.g. tables) in the online store	yes
generate a plan of infrastructure changes	no
support for on-demand transforms	yes
readable by Python SDK	yes
readable by Java	no
readable by Go	no
support for entityless feature views	yes
support for concurrent writing to the same key	yes
support for ttl (time to live) at retrieval	yes
support for deleting expired data	yes
collocated by feature view	no
collocated by feature service	no
collocated by entity key	no
vector similarity search	yes

To compare this set of functionality against other online stores, please see the full functionality matrix.