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Yeah, I kinda know why.
Maybe the azure openai chat complete will return null, so nano-graphrag will cache this return.
Do you know in which case azure openai will have such behavior? Maybe I can think of a work round to avoid this.
See
TypeError: unsupported operand type(s) for +=: 'NoneType' and 'str'
when writing graphNot sure exactly how to reproduce, flaky behavior when using large corpus with azure openai.
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