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llama-stack-mirror/docs/source/providers/vector_io/inline_milvus.md
Mustafa Elbehery d8f013b35a feat: configure vector-io provider with an embedding model 
Signed-off-by: Mustafa Elbehery <melbeher@redhat.com>
2025-08-01 12:15:14 +02:00

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inline::milvus

Description

Please refer to the remote provider documentation.

Configuration

Field Type Required Default Description
db_path <class 'str'> No PydanticUndefined
kvstore utils.kvstore.config.RedisKVStoreConfig | utils.kvstore.config.SqliteKVStoreConfig | utils.kvstore.config.PostgresKVStoreConfig | utils.kvstore.config.MongoDBKVStoreConfig No sqlite Config for KV store backend (SQLite only for now)
consistency_level <class 'str'> No Strong The consistency level of the Milvus server
embedding utils.vector_io.embedding_config.EmbeddingConfig | None No Default embedding configuration for this provider. When specified, vector databases created with this provider will use these embedding settings as defaults.

Sample Configuration

db_path: ${env.MILVUS_DB_PATH:=~/.llama/dummy}/milvus.db
kvstore:
  type: sqlite
  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/milvus_registry.db