mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-06-28 02:53:30 +00:00
4c3d33e6f4
This PR adds support for Qdrant - https://qdrant.tech/ to be used as a vector memory. I've unit-tested the methods to confirm that they work as intended. To run Qdrant ``` docker run -p 6333:6333 qdrant/qdrant ```
25 lines
715 B
Python
25 lines
715 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
|
# All rights reserved.
|
|
#
|
|
# This source code is licensed under the terms described in the LICENSE file in
|
|
# the root directory of this source tree.
|
|
|
|
from typing import Optional
|
|
|
|
from llama_models.schema_utils import json_schema_type
|
|
from pydantic import BaseModel
|
|
|
|
|
|
@json_schema_type
|
|
class QdrantConfig(BaseModel):
|
|
location: Optional[str] = None
|
|
url: Optional[str] = None
|
|
port: Optional[int] = 6333
|
|
grpc_port: int = 6334
|
|
prefer_grpc: bool = False
|
|
https: Optional[bool] = None
|
|
api_key: Optional[str] = None
|
|
prefix: Optional[str] = None
|
|
timeout: Optional[int] = None
|
|
host: Optional[str] = None
|
|
path: Optional[str] = None
|