mirror of
https://github.com/hwchase17/langchain
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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>
30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
"""Test RetrievalQA functionality."""
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from pathlib import Path
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from langchain.chains import RetrievalQA
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from langchain.chains.loading import load_chain
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from langchain_text_splitters.character import CharacterTextSplitter
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from langchain_community.document_loaders import TextLoader
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from langchain_community.embeddings.openai import OpenAIEmbeddings
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from langchain_community.llms import OpenAI
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from langchain_community.vectorstores import FAISS
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def test_retrieval_qa_saving_loading(tmp_path: Path) -> None:
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"""Test saving and loading."""
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loader = TextLoader("docs/extras/modules/state_of_the_union.txt")
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documents = loader.load()
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text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
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texts = text_splitter.split_documents(documents)
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embeddings = OpenAIEmbeddings()
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docsearch = FAISS.from_documents(texts, embeddings)
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qa = RetrievalQA.from_llm(llm=OpenAI(), retriever=docsearch.as_retriever())
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qa.run("What did the president say about Ketanji Brown Jackson?")
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file_path = tmp_path / "RetrievalQA_chain.yaml"
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qa.save(file_path=file_path)
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qa_loaded = load_chain(file_path, retriever=docsearch.as_retriever())
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assert qa_loaded == qa
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