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Eng 2040 ai r 2 add splitting features to the sdk #546
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Eng 2040 ai r 2 add splitting features to the sdk #546
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| class Splitter: | ||
| def __init__(self, split: bool, split_by: str, split_length: int, split_overlap: int): | ||
| self.split = split | ||
| self.split_by = split_by |
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Make split_by an enumerator. Should it have a default value?
Should split_length and split_overlap have a default value?
| return self.run(data=data) | ||
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| def upsert(self, documents: List[Record]) -> ModelResponse: | ||
| def upsert(self, documents: List[Record], splitter: Splitter = None) -> ModelResponse: |
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splitter: Optional[Splitter] = None
| Example: | ||
| index_model.upsert([Record(value="Hello, world!", value_type="text", uri="", id="1", attributes={})]) | ||
| index_model.upsert([Record(value="Hello, world!", value_type="text", uri="", id="1", attributes={})], splitter=Splitter(split=True, split_by="word", split_length=1, split_overlap=0)) |
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Explain in a line what the splitter does in this example.
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| for index in IndexFactory.list()["results"]: | ||
| index.delete() | ||
| # for index in IndexFactory.list()["results"]: |
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Uncomment
| for index in IndexFactory.list()["results"]: | ||
| index.delete() | ||
| # for index in IndexFactory.list()["results"]: | ||
| # index.delete() |
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