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llama-stack-mirror/docs/source/providers/vector_io/remote_qdrant.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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remote::qdrant

Description

Please refer to the inline provider documentation.

Configuration

Field Type Required Default Description
location str | None No
url str | None No
port int | None No 6333
grpc_port <class 'int'> No 6334
prefer_grpc <class 'bool'> No False
https bool | None No
api_key str | None No
prefix str | None No
timeout int | None No
host str | None No
kvstore utils.kvstore.config.RedisKVStoreConfig | utils.kvstore.config.SqliteKVStoreConfig | utils.kvstore.config.PostgresKVStoreConfig | utils.kvstore.config.MongoDBKVStoreConfig No sqlite
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

api_key: ${env.QDRANT_API_KEY:=}
kvstore:
  type: sqlite
  db_path: ${env.SQLITE_STORE_DIR:=~/.llama/dummy}/qdrant_registry.db