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openai / openai-cookbook

Examples and guides for using the OpenAI API
https://cookbook.openai.com
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Azure - Question answering using embeddings-based search #359

Closed geg00 closed 11 months ago

geg00 commented 1 year ago

I'm using python 3.11.3 Windows

Question answering using embeddings-based search

Looks like the embedding are different for Azure becuase the code

`def strings_ranked_by_relatedness(

query: str,

df: pd.DataFrame,

relatedness_fn=lambda x, y: 1 - spatial.distance.cosine(x, y),

top_n: int = 100

) -> tuple[list[str], list[float]]:

"""Returns a list of strings and relatednesses, sorted from most related to least."""

query_embedding_response = openai.Embedding.create(

    model=EMBEDDING_MODEL,

    deployment_id=EMBEDDING_MODEL,

    input=query,

)

query_embedding = query_embedding_response["data"][0]["embedding"]

strings_and_relatednesses = [

    (row["text"], relatedness_fn(query_embedding, row["embedding"]))

    for i, row in df.iterrows()

]

strings_and_relatednesses.sort(key=lambda x: x[1], reverse=True)

strings, relatednesses = zip(*strings_and_relatednesses)

return strings[:top_n], relatednesses[:top_n]

` I'm using the deployment_id as part of the call. Is returning some different answers Can you confirm?

ted-at-openai commented 1 year ago

How different are they? I believe there's some small variability for each request. Not sure if this explains the difference you see.

geg00 commented 1 year ago

In order for the example to work with Azure you will have to rerun the embedding again

EMBEDDING_ENGINE = 'text-embedding-ada-002'

openai_emb = df.iloc[0].embedding

azure_emb = openai.Embedding.create( model=EMBEDDING_ENGINE, deployment_id=EMBEDDING_ENGINE, input=df.iloc[0].text, )["data"][0]["embedding"]

openai_ == azure_emb

`

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github-actions[bot] commented 11 months ago

This issue is stale because it has been open 60 days with no activity. Remove stale label or comment or this will be closed in 10 days.

github-actions[bot] commented 11 months ago

This issue was closed because it has been stalled for 10 days with no activity.