wehub-resource-sync
32 lines
888 B
Python
32 lines
888 B
Python
from langchain_openai import ChatOpenAI, OpenAIEmbeddings
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from llama_index.core import download_loader
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from ragas.testset.synthesizers.generate import TestsetGenerator
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generator_llm = ChatOpenAI(model="gpt-4o")
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embeddings = OpenAIEmbeddings()
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generator = TestsetGenerator.from_langchain(generator_llm, embeddings)
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def get_documents():
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SemanticScholarReader = download_loader("SemanticScholarReader")
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loader = SemanticScholarReader()
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# Narrow down the search space
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query_space = "large language models"
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# Increase the limit to obtain more documents
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documents = loader.load_data(query=query_space, limit=10)
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return documents
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IGNORE_ASYNCIO = False
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# os.environ["PYTHONASYNCIODEBUG"] = "1"
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if __name__ == "__main__":
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documents = get_documents()
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generator.generate_with_llamaindex_docs(
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documents=documents,
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testset_size=50,
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)
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