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peichao.dong commited on
Commit
3772cf0
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1 Parent(s): 5c65101

update embedding config

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Files changed (9) hide show
  1. .gitignore +1 -0
  2. documents/abstract.faiss/index.faiss +0 -0
  3. documents/abstract.faiss/index.pkl +2 -2
  4. documents/business_context.faiss/index.faiss +0 -0
  5. documents/business_context.faiss/index.pkl +0 -0
  6. documents/bussiness_context/business_context.md +3 -0
  7. embedding.py +1 -1
  8. promopts.py +1 -0
  9. requirements.txt +3 -1
.gitignore CHANGED
@@ -1,3 +1,4 @@
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  **/__pycache__/*
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  .DS_Store
 
 
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  __pycache__/*
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  **/__pycache__/*
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  .DS_Store
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documents/abstract.faiss/index.faiss CHANGED
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documents/abstract.faiss/index.pkl CHANGED
@@ -1,3 +1,3 @@
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- size 26724
 
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  version https://git-lfs.github.com/spec/v1
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documents/business_context.faiss/index.faiss CHANGED
Binary files a/documents/business_context.faiss/index.faiss and b/documents/business_context.faiss/index.faiss differ
 
documents/business_context.faiss/index.pkl CHANGED
Binary files a/documents/business_context.faiss/index.pkl and b/documents/business_context.faiss/index.pkl differ
 
documents/bussiness_context/business_context.md CHANGED
@@ -14,3 +14,6 @@ FeatureConfig 用于配置某个 Feature 中控制前端展示效果的配置项
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  用户白名单圈人条件需要上传用户id的白名单，仅在白名单里的用户可以获取到相关feature
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  地理位置配置端需要设置圈定地区的地理位置编号列表，客户端请求接口是传递地理位置编号参数，位置编号匹配的数据用户可见
 
 
 
 
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  用户白名单圈人条件需要上传用户id的白名单，仅在白名单里的用户可以获取到相关feature
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  地理位置配置端需要设置圈定地区的地理位置编号列表，客户端请求接口是传递地理位置编号参数，位置编号匹配的数据用户可见
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+
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+
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+ 新增实验需要提供实验名称、目标、分组信息（包括分组标识、描述、比例）
embedding.py CHANGED
@@ -48,7 +48,7 @@ class CustomEmbedding:
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  CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(_template)
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  question_generator = LLMChain(llm=llm, prompt=CONDENSE_QUESTION_PROMPT)
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- doc_chain = load_qa_chain(llm, chain_type="map_reduce")
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  qa = ConversationalRetrievalChain( retriever= docsearch.as_retriever(search_kwargs={"k": 1}),
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  question_generator=question_generator,
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  combine_docs_chain=doc_chain,
 
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  CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(_template)
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  question_generator = LLMChain(llm=llm, prompt=CONDENSE_QUESTION_PROMPT)
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+ doc_chain = load_qa_chain(llm, chain_type="stuff")
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  qa = ConversationalRetrievalChain( retriever= docsearch.as_retriever(search_kwargs={"k": 1}),
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  question_generator=question_generator,
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  combine_docs_chain=doc_chain,
promopts.py CHANGED
@@ -19,6 +19,7 @@ Answer: the answer I responded to the question
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  Thought: I know enough to explain the user story
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  Scenarios: List all possible scenarios with concrete example in Given/When/Then style
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  {history}
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  Answer:{input}"""
 
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  Thought: I know enough to explain the user story
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  Scenarios: List all possible scenarios with concrete example in Given/When/Then style
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+ Please use Chinese! Begin!
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  {history}
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  Answer:{input}"""
requirements.txt CHANGED
@@ -6,4 +6,6 @@ sentence_transformers
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  gradio_tools
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  faiss-cpu
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  tiktoken
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- pygpt4all
 
 
 
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  gradio_tools
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  faiss-cpu
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  tiktoken
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+ pygpt4all
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+ chromadb
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+ unstructured