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Update embeddings_utils.py to set default model to text-embedding-ada-002 #604

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Merged
merged 2 commits into from
Sep 26, 2023
Merged

Update embeddings_utils.py to set default model to text-embedding-ada-002 #604

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b00ad0f
Update embeddings_utils.py
logankilpatrick Sep 7, 2023
9ac8d44
Update max tokens for new embeddings model
logankilpatrick Sep 7, 2023
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12 changes: 6 additions & 6 deletions openai/embeddings_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@


@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def get_embedding(text: str, engine="text-similarity-davinci-001", **kwargs) -> List[float]:
def get_embedding(text: str, engine="text-embedding-ada-002", **kwargs) -> List[float]:

# replace newlines, which can negatively affect performance.
text = text.replace("\n", " ")
Expand All @@ -25,7 +25,7 @@ def get_embedding(text: str, engine="text-similarity-davinci-001", **kwargs) ->

@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
async def aget_embedding(
text: str, engine="text-similarity-davinci-001", **kwargs
text: str, engine="text-embedding-ada-002", **kwargs
) -> List[float]:

# replace newlines, which can negatively affect performance.
Expand All @@ -38,9 +38,9 @@ async def aget_embedding(

@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
def get_embeddings(
list_of_text: List[str], engine="text-similarity-babbage-001", **kwargs
list_of_text: List[str], engine="text-embedding-ada-002", **kwargs
) -> List[List[float]]:
assert len(list_of_text) <= 2048, "The batch size should not be larger than 2048."
assert len(list_of_text) <= 8191, "The batch size should not be larger than 8191."

# replace newlines, which can negatively affect performance.
list_of_text = [text.replace("\n", " ") for text in list_of_text]
Expand All @@ -51,9 +51,9 @@ def get_embeddings(

@retry(wait=wait_random_exponential(min=1, max=20), stop=stop_after_attempt(6))
async def aget_embeddings(
list_of_text: List[str], engine="text-similarity-babbage-001", **kwargs
list_of_text: List[str], engine="text-embedding-ada-002", **kwargs
) -> List[List[float]]:
assert len(list_of_text) <= 2048, "The batch size should not be larger than 2048."
assert len(list_of_text) <= 8191, "The batch size should not be larger than 8191."

# replace newlines, which can negatively affect performance.
list_of_text = [text.replace("\n", " ") for text in list_of_text]
Expand Down