0884cc00e5
* move aoss to driver * add indexes * don't save vectors to neo4j with aoss * load embeddings from aoss * add group_id routing * add search filters and similarity search * neptune regression update * update neptune for regression purposes * update index creation with aliasing * regression tested * update version * edits * claude suggestions * cleanup * updates * add embedding dim env var * use cosine sim * updates * updates * remove unused imports * update
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
"""
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Copyright 2024, Zep Software, Inc.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import os
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from abc import ABC, abstractmethod
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from collections.abc import Iterable
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from pydantic import BaseModel, Field
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EMBEDDING_DIM = int(os.getenv('EMBEDDING_DIM', 1024))
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class EmbedderConfig(BaseModel):
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embedding_dim: int = Field(default=EMBEDDING_DIM, frozen=True)
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class EmbedderClient(ABC):
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@abstractmethod
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async def create(
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self, input_data: str | list[str] | Iterable[int] | Iterable[Iterable[int]]
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) -> list[float]:
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pass
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async def create_batch(self, input_data_list: list[str]) -> list[list[float]]:
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raise NotImplementedError()
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