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f92006de3c
0.2rc migrations - [x] Move memory - [x] Move remaining retrievers - [x] graph_qa chains - [x] some dependency from evaluation code potentially on math utils - [x] Move openapi chain from `langchain.chains.api.openapi` to `langchain_community.chains.openapi` - [x] Migrate `langchain.chains.ernie_functions` to `langchain_community.chains.ernie_functions` - [x] migrate `langchain/chains/llm_requests.py` to `langchain_community.chains.llm_requests` - [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder` -> `langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder` (namespace not ideal, but it needs to be moved to `langchain` to avoid circular deps) - [x] unit tests langchain -- add pytest.mark.community to some unit tests that will stay in langchain - [x] unit tests community -- move unit tests that depend on community to community - [x] mv integration tests that depend on community to community - [x] mypy checks Other todo - [x] Make deprecation warnings not noisy (need to use warn deprecated and check that things are implemented properly) - [x] Update deprecation messages with timeline for code removal (likely we actually won't be removing things until 0.4 release) -- will give people more time to transition their code. - [ ] Add information to deprecation warning to show users how to migrate their code base using langchain-cli - [ ] Remove any unnecessary requirements in langchain (e.g., is SQLALchemy required?) --------- Co-authored-by: Erick Friis <erick@langchain.dev>
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
from langchain.retrievers.merger_retriever import MergerRetriever
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from langchain_community.embeddings import OpenAIEmbeddings
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from langchain_community.vectorstores import Chroma
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def test_merger_retriever_get_relevant_docs() -> None:
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"""Test get_relevant_docs."""
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texts_group_a = [
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"This is a document about the Boston Celtics",
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"Fly me to the moon is one of my favourite songs."
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"I simply love going to the movies",
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]
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texts_group_b = [
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"This is a document about the Poenix Suns",
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"The Boston Celtics won the game by 20 points",
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"Real stupidity beats artificial intelligence every time. TP",
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]
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embeddings = OpenAIEmbeddings()
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retriever_a = Chroma.from_texts(texts_group_a, embedding=embeddings).as_retriever(
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search_kwargs={"k": 1}
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)
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retriever_b = Chroma.from_texts(texts_group_b, embedding=embeddings).as_retriever(
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search_kwargs={"k": 1}
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)
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# The Lord of the Retrievers.
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lotr = MergerRetriever(retrievers=[retriever_a, retriever_b])
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actual = lotr.invoke("Tell me about the Celtics")
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assert len(actual) == 2
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assert texts_group_a[0] in [d.page_content for d in actual]
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assert texts_group_b[1] in [d.page_content for d in actual]
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