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https://github.com/hwchase17/langchain
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afa2d85405
- Description: Added missing `from_documents` method to `KNNRetriever`, providing the ability to supply metadata to LangChain `Document`s, and to give it parity to the other retrievers, which do have `from_documents`. - Issue: None - Dependencies: None - Twitter handle: None Co-authored-by: Victor Adan <vadan@netroadshow.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
from langchain_core.documents import Document
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from langchain_community.embeddings import FakeEmbeddings
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from langchain_community.retrievers.knn import KNNRetriever
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class TestKNNRetriever:
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def test_from_texts(self) -> None:
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input_texts = ["I have a pen.", "Do you have a pen?", "I have a bag."]
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knn_retriever = KNNRetriever.from_texts(
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texts=input_texts, embeddings=FakeEmbeddings(size=100)
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)
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assert len(knn_retriever.texts) == 3
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def test_from_documents(self) -> None:
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input_docs = [
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Document(page_content="I have a pen.", metadata={"page": 1}),
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Document(page_content="Do you have a pen?", metadata={"page": 2}),
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Document(page_content="I have a bag.", metadata={"page": 3}),
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]
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knn_retriever = KNNRetriever.from_documents(
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documents=input_docs, embeddings=FakeEmbeddings(size=100)
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)
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assert knn_retriever.texts == [
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"I have a pen.",
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"Do you have a pen?",
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"I have a bag.",
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]
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assert knn_retriever.metadatas == [{"page": 1}, {"page": 2}, {"page": 3}]
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