d7c20c1f59
* WIP * WIP * WIP * community search * WIP * WIP * integration tested * tests * tests * mypy * mypy * format
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
"""
|
|
Copyright 2024, Zep Software, Inc.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
"""
|
|
|
|
import logging
|
|
import typing
|
|
from time import time
|
|
|
|
from graphiti_core.llm_client.config import EMBEDDING_DIM
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
async def generate_embedding(
|
|
embedder: typing.Any, text: str, model: str = 'text-embedding-3-small'
|
|
):
|
|
start = time()
|
|
|
|
text = text.replace('\n', ' ')
|
|
embedding = (await embedder.create(input=[text], model=model)).data[0].embedding
|
|
embedding = embedding[:EMBEDDING_DIM]
|
|
|
|
end = time()
|
|
logger.debug(f'embedded text of length {len(text)} in {end - start} ms')
|
|
|
|
return embedding
|