12 lines
466 B
Python
12 lines
466 B
Python
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from langchain.embeddings.huggingface import HuggingFaceEmbeddings
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from langchain.vectorstores import FAISS
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# 中文Wikipedia数据导入示例：
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embedding_model_name = '/root/pretrained_models/ernie-gram-zh'
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embeddings = HuggingFaceEmbeddings(model_name=embedding_model_name)
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vector_store = FAISS.load_local("/root/GoMall/Knowledge-ChatGLM/cache/zh_wikipedia", embeddings)
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print(vector_store)
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res = vector_store.similarity_search_with_score('闫强')
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print(res)
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