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Fix Issue #1100 (#1101)

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https://github.com/hwchase17/langchain/issues/1100
When faiss data and doc.index are created in past versions, error occurs
that say there was no attribute. So I put hasattr in the check as a
simple solution.

However, increasing the number of such checks is not good for
conservatism, so I think there is a better solution.


Also, the code for the batch process was left out, so I put it back in.
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Hasegawa Yuya 2023-02-17 17:53:16 +09:00 committed by GitHub
parent 3f50feb280
commit 383c67c1b2
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1 changed files with 7 additions and 5 deletions
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langchain/embeddings/openai.py
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@ -147,11 +147,13 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
texts, engine=self.document_model_name, chunk_size=chunk_size texts, engine=self.document_model_name, chunk_size=chunk_size
) )
else: else:
responses = [ results = []
self._embedding_func(text, engine=self.document_model_name) for i in range(0, len(texts), chunk_size):
for text in texts response = self.client.create(
] input=texts[i : i + chunk_size], engine=self.document_model_name
return responses )
results += [r["embedding"] for r in response["data"]]
return results
def embed_query(self, text: str) -> List[float]: def embed_query(self, text: str) -> List[float]:
"""Call out to OpenAI's embedding endpoint for embedding query text. """Call out to OpenAI's embedding endpoint for embedding query text.