github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2026-06-09 18:50:33 +00:00
Code Issues Packages Projects Releases Wiki Activity

style(core): more cleanup all around (#33711)

Browse Source
This commit is contained in:
Mason Daugherty
2025-10-28 22:58:19 -04:00
committed by GitHub
parent e5e1d6c705
commit a2a9a02ecb
12 changed files with 121 additions and 95 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
libs/partners/openai/langchain_openai/embeddings/base.py
View File

@@ -499,12 +499,12 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
and HuggingFace tokenizer based on the tiktoken_enabled flag.
Args:
texts (List[str]): A list of texts to embed.
engine (str): The engine or model to use for embeddings.
chunk_size (int | None): The size of chunks for processing embeddings.
texts: A list of texts to embed.
engine: The engine or model to use for embeddings.
chunk_size: The size of chunks for processing embeddings.
Returns:
List[List[float]]: A list of embeddings for each input text.
A list of embeddings for each input text.
"""
_chunk_size = chunk_size or self.chunk_size
client_kwargs = {**self._invocation_params, **kwargs}
@@ -551,12 +551,12 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
`tiktoken` and HuggingFace `tokenizer` based on the tiktoken_enabled flag.
Args:
texts (List[str]): A list of texts to embed.
engine (str): The engine or model to use for embeddings.
chunk_size (int | None): The size of chunks for processing embeddings.
texts: A list of texts to embed.
engine: The engine or model to use for embeddings.
chunk_size: The size of chunks for processing embeddings.
Returns:
List[List[float]]: A list of embeddings for each input text.
A list of embeddings for each input text.
"""
_chunk_size = chunk_size or self.chunk_size
client_kwargs = {**self._invocation_params, **kwargs}