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README.md
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document_store = FAISSDocumentStore(faiss_index_factory_str="Flat", embedding_dim=1024)
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# Загрузка и обработка документов
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from haystack.utils import clean_wiki_text, convert_files_to_docs
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doc_dir = "test"
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docs = convert_files_to_docs(dir_path=doc_dir, clean_func=clean_wiki_text, split_paragraphs=True)
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document_store.write_documents(docs)
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from haystack.nodes import EmbeddingRetriever
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# Использование модели, поддерживающей русский язык
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retriever = EmbeddingRetriever(
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document_store=document_store,
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embedding_model="AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru"
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)
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document_store.update_embeddings(retriever)
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from haystack.nodes import FARMReader
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# Использование модели для русского языка
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reader = FARMReader(model_name_or_path="AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru", use_gpu=False)
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from haystack.pipelines import ExtractiveQAPipeline
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pipe = ExtractiveQAPipeline(reader, retriever)
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# Запрос на русском языке
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query = "директор Института электроэнергетики и электроники?"
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prediction = pipe.run(
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query=query, params={"Retriever": {"top_k": 10}, "Reader": {"top_k": 10}}
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)
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print(prediction)
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test
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