# Copyright (c) "Neo4j"
# Neo4j Sweden AB [https://neo4j.com]
# #
# 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
# #
# https://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.
from __future__ import annotations
from typing import Any, Optional
from neo4j_graphrag.embeddings.base import Embedder
from neo4j_graphrag.exceptions import EmbeddingsGenerationError
from neo4j_graphrag.utils.rate_limit import RateLimitHandler, rate_limit_handler
try:
import cohere
except ImportError:
cohere = None # type: ignore
[docs]
class CohereEmbeddings(Embedder):
def __init__(
self,
model: str = "",
rate_limit_handler: Optional[RateLimitHandler] = None,
**kwargs: Any,
) -> None:
if cohere is None:
raise ImportError(
"""Could not import cohere python client.
Please install it with `pip install "neo4j-graphrag[cohere]"`."""
)
super().__init__(rate_limit_handler)
self.model = model
self.client = cohere.Client(**kwargs)
[docs]
@rate_limit_handler
def embed_query(self, text: str, **kwargs: Any) -> list[float]:
try:
response = self.client.embed(
texts=[text],
model=self.model,
**kwargs,
)
return response.embeddings[0] # type: ignore
except Exception as e:
raise EmbeddingsGenerationError(
f"Failed to generate embedding with Cohere: {e}"
) from e