forked from phoenix-oss/llama-stack-mirror
3ae8585b65
See https://github.com/meta-llama/llama-stack/issues/827 for the broader design. This is the first part: - delete other kinds of memory banks (keyvalue, keyword, graph) for now; we will introduce a keyvalue store API as part of this design but not use it in the RAG tool yet. - renaming of the APIs
29 lines
783 B
Python
29 lines
783 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 Any, Dict
|
|
|
|
from llama_models.schema_utils import json_schema_type
|
|
from pydantic import BaseModel
|
|
|
|
from llama_stack.providers.utils.kvstore.config import (
|
|
KVStoreConfig,
|
|
SqliteKVStoreConfig,
|
|
)
|
|
|
|
|
|
@json_schema_type
|
|
class FaissImplConfig(BaseModel):
|
|
kvstore: KVStoreConfig
|
|
|
|
@classmethod
|
|
def sample_run_config(cls, __distro_dir__: str) -> Dict[str, Any]:
|
|
return {
|
|
"kvstore": SqliteKVStoreConfig.sample_run_config(
|
|
__distro_dir__=__distro_dir__,
|
|
db_name="faiss_store.db",
|
|
)
|
|
}
|