mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
c010ec8b71
- `.get_relevant_documents(query)` -> `.invoke(query)`
- `.get_relevant_documents(query=query)` -> `.invoke(query)`
- `.get_relevant_documents(query, callbacks=callbacks)` ->
`.invoke(query, config={"callbacks": callbacks})`
- `.get_relevant_documents(query, **kwargs)` -> `.invoke(query,
**kwargs)`
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
25 lines
724 B
Python
25 lines
724 B
Python
"""Integration test for Kay.ai API Wrapper."""
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import pytest
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from langchain_core.documents import Document
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from langchain_community.retrievers import KayAiRetriever
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@pytest.mark.requires("kay")
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def test_kay_retriever() -> None:
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retriever = KayAiRetriever.create(
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dataset_id="company",
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data_types=["10-K", "10-Q", "8-K", "PressRelease"],
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num_contexts=3,
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)
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docs = retriever.invoke(
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"What were the biggest strategy changes and partnerships made by Roku "
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"in 2023?",
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)
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assert len(docs) == 3
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for doc in docs:
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assert isinstance(doc, Document)
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assert doc.page_content
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assert doc.metadata
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assert len(list(doc.metadata.items())) > 0
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