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Browse files- rag_reponse_002.py +1 -0
- requirements.txt +1 -0
rag_reponse_002.py
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"""
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##TODO: 1. 将LLM改成ChatGPT. 2. Reranker. 3. 最后给出相似查询的页面结构
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from langchain_community.vectorstores import FAISS
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from langchain.embeddings.huggingface import HuggingFaceEmbeddings
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from langchain_core.output_parsers import StrOutputParser
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"""
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##TODO: 1. 将LLM改成ChatGPT. 2. Reranker. 3. 最后给出相似查询的页面结构
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import sentence_transformers
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from langchain_community.vectorstores import FAISS
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from langchain.embeddings.huggingface import HuggingFaceEmbeddings
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from langchain_core.output_parsers import StrOutputParser
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requirements.txt
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streamlit==1.33.0
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streamlit_authenticator==0.2.3
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tqdm==4.66.2
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streamlit==1.33.0
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streamlit_authenticator==0.2.3
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tqdm==4.66.2
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sentence_transformers
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