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fix: fullfill openai params when embedding #5821

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merged 3 commits into from
Jun 7, 2023
Merged

fix: fullfill openai params when embedding #5821

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fix: fullfill openai params when embedding
warjiang Jun 7, 2023
2a20f35
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hwchase17 Jun 7, 2023
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hwchase17 Jun 7, 2023
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20 changes: 10 additions & 10 deletions langchain/embeddings/openai.py
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Original file line number Diff line number Diff line change
Expand Up @@ -97,8 +97,8 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
embeddings = OpenAIEmbeddings(
deployment="your-embeddings-deployment-name",
model="your-embeddings-model-name",
api_base="https://your-endpoint.openai.azure.com/",
api_type="azure",
openai_api_base="https://your-endpoint.openai.azure.com/",
openai_api_type="azure",
)
text = "This is a test query."
query_result = embeddings.embed_query(text)
Expand Down Expand Up @@ -257,10 +257,10 @@ def _get_len_safe_embeddings(
average = embed_with_retry(
self,
input="",
engine=self.deployment,
request_timeout=self.request_timeout,
headers=self.headers,
)["data"][0]["embedding"]
**self._invocation_params,
)[
"data"
][0]["embedding"]
else:
average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
embeddings[i] = (average / np.linalg.norm(average)).tolist()
Expand All @@ -280,10 +280,10 @@ def _embedding_func(self, text: str, *, engine: str) -> List[float]:
return embed_with_retry(
self,
input=[text],
engine=engine,
request_timeout=self.request_timeout,
headers=self.headers,
)["data"][0]["embedding"]
**self._invocation_params,
)[
"data"
][0]["embedding"]

def embed_documents(
self, texts: List[str], chunk_size: Optional[int] = 0
Expand Down