在RAG管道中实现上下文压缩和过滤

2023年12月21日 由 alex 发表 169 0

什么是上下文压缩?


6


在检索过程中,一个挑战是通常当你将数据输入到文档存储系统时,你并不知道系统将面临哪些具体的查询。


这意味着与查询最相关的信息可能被埋藏在含有大量无关文本的文档中。将完整的文档通过你的应用程序处理可能导致更昂贵的LLM调用和更差的响应。


所以这里“上下文压缩”的概念就变得很有用。这个概念是:


  1. 我们有某种基础检索器,它检索出不同片段的信息。
  2. 然后我们将这些信息添加到文档压缩器。
  3. 压缩器过滤并处理这些信息,以提取仅用于回答问题的有用信息。


要使用上下文压缩检索器,你需要:


  • 基础检索器
  • 文档压缩器


上下文压缩的步骤


  • 上下文压缩检索器将查询传递给基础检索器,
  • 然后它获取初步文档并通过文档压缩器处理。
  • 文档压缩器取一系列文档,并通过减少文档内容或完全丢弃文档来缩短它们


技术栈:


  1. Langchain:支持使用LLM创建应用程序的框架
  2. Llmware BLING模型:大型语言模型(实验性)
  3. Chromadb:向量存储


代码实现


安装所需的依赖项


%%capture
!pip install -qU langchain huggingface_hub chromadb pypdf python-dotenv transformers entence-transformers


导入所需的库


from langchain.llms import HuggingFaceHub
from langchain.document_loaders import PyPDFLoader
from langchain.vectorstores import Chroma
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.embeddings import SentenceTransformerEmbeddings
from langchain.prompts import PromptTemplate
from dotenv import load_dotenv


设置Huggingface Hub令牌


import os
from getpass import getpass
os.environ["HUGGINGFACEHUB_API_TOKEN"] = getpass("Enter HuggingFace Hub Token:")


加载数据


loader = PyPDFLoader("/content/CommonInsuranceTerms (1).pdf")
documents = loader.load()
print(len(documents))
print(documents[0].page_content)
#### RESPONSE ####
16
Glossary of Common Insurance Terms 
NOTICE:  This document is for informational purposes only and is not in tended to alter or replace the 
insurance policy. Additionally, this informational sheet is not  intended to fully set out your rights and 
obligations or the rights and obligations of the insurance comp any. If you have questions about your insurance, 
you should consult your insurance agent, the insurance company,  or the language of the insurance policy. 

Accelerated death benefits  - An insurance policy with an accelerated death benefits provi sion will pay - 
under certain conditions - all or part of the policy death bene fits while the policyholder is still alive. These 
conditions include proof that the policyholder is terminally il l, has a specified life-thr eatening disease or is in a 
long-term care facility such as a nursing home. By accepting an  accelerated benefit payment, a person could be 
ruled ineligible for Medicaid or  other government benefits. The  proceeds may also be taxable. 
Accident  - An unforeseen, unintended event. 
Accident-only policies  - Policies that pay only in cas es arising from an accident or injury. 
Accidental death benefits  - If a life insurance policy includes an accidental death bene fit, the cause of death 
will be examined to determine whether the insured´s death meets  the policy´s definition of accidental. 
Actual cash value (ACV)  - The value of your property, based on the current cost to rep lace it minus 
depreciation. Also see "replacement cost." 
Additional livin g expenses (ALE)  - Reimburses the policyholder for the cost of temporary housin g, food, and 
other essential living expenses, if the home is damaged by a co vered peril that makes the home temporarily 
uninhabitable.  
Adjuster  - An individual employed by an insurer to evaluate losses and settle policyholder claims.  
Administrative expense charge  - An amount deducted, usually monthly, from the policy. 
Agent  - A person who sells insurance policies. Must be licensed by t he Alabama Department of Insurance to 
legally sell and transact insurance business.  
Annuitant  - A person who receives the payments from an annuity during hi s or her lifetime. 


设置文本分割器


text_splitter = RecursiveCharacterTextSplitter(chunk_size=700,chunk_overlap=70)
split_documents = text_splitter.split_documents(documents)
print(len(split_documents))
print(split_documents[0])
##### RESPONSE #####
65
Document(page_content='Glossary of Common Insurance Terms \nNOTICE:  This document is for informational purposes only and is not in tended to alter or replace the \ninsurance policy. Additionally, this informational sheet is not  intended to fully set out your rights and \nobligations or the rights and obligations of the insurance comp any. If you have questions about your insurance, \nyou should consult your insurance agent, the insurance company,  or the language of the insurance policy. \nA \nAccelerated death benefits  - An insurance policy with an accelerated death benefits provi sion will pay - \nunder certain conditions - all or part of the policy death bene fits while the policyholder is still alive. These', metadata={'source': '/content/CommonInsuranceTerms (1).pdf', 'page': 0})


在HuggingFace上使用BLIN模型系列


配置嵌入


  • industry-bert-insurance-v0.1 是一系列行业特定微调的 sentence_transformer 嵌入模型的一部分。


模型描述


industry-bert-insurance-v0.1 是一个基于BERT、经过领域微调的768参数句子转换器模型,旨在作为保险业领域嵌入的“即插即用”替代品。该模型是在公开可获得的保险行业文档的广泛范围内训练而成的。


embeddings = SentenceTransformerEmbeddings(model_name="llmware/industry-bert-insurance-v0.1")
#


设置LLM模型描述


bling-sheared-llama-1.3b-0.1 是BLING("最佳小型指令跟随无需GPU系列")模型系列的一部分,它是基于Sheared-LLaMA-1.3B基础模型上训练的指令执行模型。


BLING模型经过了高质量自定义指令数据集的微调精炼,这些数据集针对特定子集的指令任务,旨在提供一个高质量的、即时“推断就绪”的指令模型,即使在CPU笔记本电脑上也能不使用任何先进的量化优化运行。


repo_id ="llmware/bling-sheared-llama-1.3b-0.1"
llm = HuggingFaceHub(repo_id=repo_id,
                     model_kwargs={"temperature":0.3,"max_length":500})


打印文档的辅助功能


def pretty_print_docs(docs):
  print(f"\n{'-'* 100}\n".join([F"Document{i+1}:\n\n" + d.page_content for i,d in enumerate(docs)]))


设置向量存储


vectorstore = Chroma.from_documents(split_documents,
                                    embeddings,
                                    collection_metadata={"hnsw:space":"cosine"},
                                    persist_directory="/content/stores/insurance")
vectorstore.persist()


设置检索器


retriever = vectorstore.as_retriever(search_kwargs={"k":2})


获取与查询匹配的相关上下文


docs = retriever.get_relevant_documents(query="What is Group life insurance?")
pretty_print_docs(docs)
##### RESPONSE #####
Document1:
or claim payment. Insurance companies also may have grievance p rocedures. 
Group life insurance  - This type of life insurance provides coverage to a group of people under one contract. 
Most group contracts are sold to businesses that w ant to provid e life insurance for their employees. Group life 
insurance can also be sold to associations to cover their membe rs and to lending institutions to cover the 
amounts of their debtor loans. Most group policies are for term  insurance. Generally, the business will be 
issued a master policy and each person in the group will receiv e a certificate of insurance. 
Group of companies  - Several insurance companies u nder common ownership and often  common 
management.
----------------------------------------------------------------------------------------------------
Document2:
Most group contracts are sold to businesses that w ant to provid e life insurance for their employees. Group life 
insurance can also be sold to associations to cover their membe rs and to lending institutions to cover the 
amounts of their debtor loans. Most group policies are for term  insurance. Generally, the business will be 
issued a master policy and each person in the group will receiv e a certificate of insurance. 
Group of companies  - Several insurance companies u nder common ownership and often  common 
management.


添加具有上下文压缩的LLMChainExtractor


  • 向初始返回的文档中添加LLMChainExtractor进行迭代。
  • 从每个文档中只提取与查询相关的上下文。


from langchain.retrievers import ContextualCompressionRetriever
from langchain.retrievers.document_compressors import LLMChainExtractor
#making the compressor
compressor = LLMChainExtractor.from_llm(llm=llm)
#compressor retriver = base retriever + compressor
compression_retriever = ContextualCompressionRetriever(base_retriever=retriever,
                                                       base_compressor=compressor)


默认压缩器提示


print(compressor.llm_chain.prompt.template)
###### RESPONSE #######
Given the following question and context, extract any part of the context *AS IS* that is relevant to answer the question. If none of the context is relevant return NO_OUTPUT. 
Remember, *DO NOT* edit the extracted parts of the context.
> Question: {question}
> Context:
>>>
{context}
>>>
Extracted relevant parts:


将过滤器添加至上下文压缩


  • 使用 LLMChainFilter 来选择传递给 LLM 的查询


#
from getpass import getpass
import os
from langchain.embeddings import OpenAIEmbeddings
from langchain.retrievers.document_compressors import EmbeddingsFilter
#
os.environ["OPENAI_API_KEY "] = getpass()
#
embdeddings_filter = EmbeddingsFilter(embeddings=embeddings)
compression_retriever_filter = ContextualCompressionRetriever(base_retriever=retriever,
                                                       base_compressor=embdeddings_filter)
#
compressed_docs = compression_retriever_filter.get_relevant_documents(query="What is Group Life Insurance?")
pretty_print_docs(compressed_docs)
##### RESPOSNE ######
Document1:
or claim payment. Insurance companies also may have grievance p rocedures. 
Group life insurance  - This type of life insurance provides coverage to a group of people under one contract. 
Most group contracts are sold to businesses that w ant to provid e life insurance for their employees. Group life 
insurance can also be sold to associations to cover their membe rs and to lending institutions to cover the 
amounts of their debtor loans. Most group policies are for term  insurance. Generally, the business will be 
issued a master policy and each person in the group will receiv e a certificate of insurance. 
Group of companies  - Several insurance companies u nder common ownership and often  common 
management.
----------------------------------------------------------------------------------------------------
Document2:
Most group contracts are sold to businesses that w ant to provid e life insurance for their employees. Group life 
insurance can also be sold to associations to cover their membe rs and to lending institutions to cover the 
amounts of their debtor loans. Most group policies are for term  insurance. Generally, the business will be 
issued a master policy and each person in the group will receiv e a certificate of insurance. 
Group of companies  - Several insurance companies u nder common ownership and often  common 
management.


实施检索QA链以进行问题解答


from langchain.chains import RetrievalQA
qa = RetrievalQA.from_chain_type(llm=llm,
                                 chain_type="stuff",
                                 retriever=compression_retriever_filter,
                                 verbose=True)
#
Ask Question
qa("What is Coinsurance?")
##### RESPONSE #####
> Entering new RetrievalQA chain...
> Finished chain.
{'query': 'What is Coinsurance?',
 'result': ' Coinsurance is the percentage of each health care bill a person must pay out of their own pocket. Non-covered charges and deductibles are in addition to this amount. Coinsurance maximum is the most you will have to pay in coinsurance during a policy period (usually a year) before your health plan begins paying 100 percent of the cost of your covered health services. The coinsurance maximum generally does not apply to copayments or other expenses you might be required to pay.\n\nC'}


qa("What is Group Life Insurance?")
###### RESPONSE #######
> Entering new RetrievalQA chain...
> Finished chain.
{'query': 'What is Group Life Insurance?',
 'result': ' Group life insurance provides coverage to a group of people under one contract. \nMost group contracts are sold to businesses that w ant to provid e life insurance for their employees. Group life \ninsurance can also be sold to associations to cover their membe rs and to lending institutions to cover the \namounts of their debtor loans. Most group policies are for term  insurance. Generally, the business will be \nissued a master policy and each person in the group will receiv e a certificate of insurance. \nGroup of companies  - Several insurance companies u nder common ownership and often  common \nmanagement'}


管道


将压缩机和文档转换器串联起来


  • 嵌入:langchain_core.embeddings.Embeddings [必需] 用于嵌入文档内容和查询的嵌入。
  • k:可选[int] = 20 返回相关文档的数量。可以设置为 None,在这种情况下必须指定 similarity_threshold。默认为20。
  • similarity_fn:可调用 = 用于比较文档的相似性函数。函数预计要接受两个矩阵(List[List[float]])作为输入,并返回一个得分矩阵,其中更高的值表示更高的相似性。
  • similarity_threshold:可选[float] = None 确定两个文档足够相似以被视为冗余的阈值。默认为 None,如果 k 设置为 None,则必须指定。


在这里,我们创建了一个包括冗余过滤器 + 相关过滤器的管线,其中冗余过滤器过滤掉重复的上下文,相关过滤器仅提取相关的上下文。


  • EmbeddingsRedundantFilter 我们可以识别相似的文档并过滤掉冗余内容
  • EmbeddingsFilter 通过嵌入文档和查询并且只返回那些与查询具有足够相似嵌入的文档,提供了一种更便宜快速的选择。


from langchain.document_transformers import EmbeddingsRedundantFilter
from langchain.retrievers.document_compressors import DocumentCompressorPipeline
#
redundant_filter = EmbeddingsRedundantFilter(embeddings=embeddings)
relevant_filter = EmbeddingsFilter(embeddings=embeddings,k=5)
#making the pipeline
pipeline_compressor = DocumentCompressorPipeline(transformers=[redundant_filter,relevant_filter])
# compressor retriever
compression_retriever_pipeline = ContextualCompressionRetriever(base_retriever=retriever,
                                                       base_compressor=pipeline_compressor)
## print the prompt
print(compression_retriever_pipeline)
## Get relevant documents
compressed_docs = compression_retriever_pipeline.get_relevant_documents(query="What is Coinsurance?")
pretty_print_docs(compressed_docs)

##### RESPOSNE #####
Document1:
Claimant  - A person who makes an insurance claim. 
Coinsurance  - The percentage of each health care bill a person must pay ou t of their own pocket. Non-covered 
charges and deductibles are in addition to this amount. 
Coinsurance maximum  - The most you will have to pay in coinsurance during a policy  period (usually a 
year) before your health plan begins paying 100 percent of the cost of your covered health services. The 
coinsurance maximum generally does not apply to copayments or o ther expenses you might be required to pay. 
Collision coverage  - Pays for damage to a car with out regard to who caused an acc ident. The company must


compressed_docs = compression_retriever_pipeline.get_relevant_documents(query="What is Earned premium?")
pretty_print_docs(compressed_docs)
##### RESPOSNE #####
Document1:
replacement cost or the actual cash value, which includes depre ciation. 
Replacement cost  - Insurance coverage that pays the dollar amount needed to rep lace the structure or 
damaged personal property without deducting for depreciation bu t limited by the policy's maximum dollar 
amount. 
Rescission  - The termination of an insurance contract by the insurer when  material misrepresentation has 
occurred. 
Return premium  - A portion of the premium returned to a policy owner as a res ult of cancelation, rate 
adjustment, or a calculation that an advance premium was in exc ess of the actual premium.


compressed_docs = compression_retriever_pipeline.get_relevant_documents(query="What is Group Insurance Policy?")
pretty_print_docs(compressed_docs)
##### RESPONSE #######


实施使用LLM作为llmware/bling-shore-llama-1.3b-0.1模型的问答RAG管道


这个模型应该用于生成简短的文本作为响应,主要有助于聊天机器人类型的应用,我们不需要较长的响应。同时,根据我自己的实验观察,当这个LLM与Zephyr-beta-7b或Openai比较时,并没有产生有效的响应生成。我只是出于实验目的使用上述LLM。使用正确的LLM可以提高生成的响应的正确性。


对llmware模型的提示格式:


from langchain.prompts import PromptTemplate
template ="""
<human>:
Context:{context}
Question:{question}
Use the above Context to answer the user's question.Consider only the Context provided above to formulate response.If the Question asked does not match with the Context provided just say 'I do not know thw answer'.
<bot>:
"""
prompt = PromptTemplate(input_variables=["context","question"],template=template)
chain_type_kwargs = {"prompt":prompt}
print(prompt)
####
from langchain.chains import RetrievalQA
qa = RetrievalQA.from_chain_type(llm=llm,
                                 chain_type="stuff",
                                 retriever=compression_retriever_pipeline,
                                 chain_type_kwargs=chain_type_kwargs,
                                 return_source_documents=True,
                                 verbose=True)
#
qa("What is Group Insurance Policy?")
###### RESPONSE ############
> Entering new RetrievalQA chain...
> Finished chain.
{'query': 'What is Group Insurance Policy?',
 'result': '<bot>: Group insurance policy is a policy that covers the life of a group of people. \nIt is usually sold to businesses that want to provide life insurance for their employees. \nIt can also be sold to associations to cover their members and to lending institutions to cover the amount of their debtor loans. \nMost group policies are for term insurance.<|endoftext|> Хронологија Хронологија Хронологија Хронологија Хронологија instanceof instanceof instanceof instanceof instanceof Хронологија Хронологија instanceof instanceof instanceof instanceofbolds Хронологија Narodowecka Narodowecka Narodowecka Narodowecka<|endoftext|><|endoftext|>bolds<|endoftext|>boldstrightarrow</boldsightarrow <|endoftext|></trightarrow',
 'source_documents': [_DocumentWithState(page_content='Most group contracts are sold to businesses that w ant to provid e life insurance for their employees. Group life \ninsurance can also be sold to associations to cover their membe rs and to lending institutions to cover the \namounts of their debtor loans. Most group policies are for term  insurance. Generally, the business will be \nissued a master policy and each person in the group will receiv e a certificate of insurance. \nGroup of companies  - Several insurance companies u nder common ownership and often  common \nmanagement.', metadata={'page': 5, 'source': '/content/CommonInsuranceTerms (1).pdf'}, state={'embedded_doc': [0.21783578395843506, 0.10463877022266388, -0.027319835498929024, -0.3879217505455017, 0.40784013271331787, 0.26043280959129333, -0.37868937849998474, -0.254645437002182, -0.36403888463974, 0.3492107689380646, 0.10714895278215408, -0.052755843847990036, 0.559119462966919, -0.20670485496520996, -0.4170210361480713, -0.3751305639743805, -0.3942665755748749, 0.2242078185081482, -0.49813032150268555, 0.1591452807188034, -0.01432145107537508, 0.2629348039627075, 0.48010149598121643, 0.0610065758228302, -0.5170305371284485, 0.1577228158712387, 0.15019835531711578, -0.14634855091571808, 0.1911127120256424, 0.19631560146808624, 0.007989645004272461, 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response = qa("What is Long-term care benefits?")
print(response['result'].split("<|endoftext|>")[0])
###### RESPONSE ######
 Entering new RetrievalQA chain...
> Finished chain.
Long-term care benefits - Coverage that provides help for people when they are unable to care for themselves because of prolonged illness or disability. Benefits are triggered by specific findings of "cognitive impairment" or inability to perform certain actions known as "Activities of Daily Living." Benefits can range from help with daily activities while recuperating at home to skilled nursing care provided in a nursing home.


print(response)
######### RESPONSE #######
{'query': 'What is Long-term care benefits?',
 'result': 'Long-term care benefits - Coverage that provides help for people when they are unable to care for themselves because of prolonged illness or disability. Benefits are triggered by specific findings of "cognitive impairment" or inability to perform certain actions known as "Activities of Daily Living." Benefits can range from help with daily activities while recuperating at home to skilled nursing care provided in a nursing home.<|endoftext|> Хронологија Хронологија Хронологија Хронологија instanceof instanceof instanceof instanceof instanceof instanceofboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsboldsbolds',
 'source_documents': [_DocumentWithState(page_content='Long-term care benefits  - Coverage that provides help f or people when they are unable to care for themselves \nbecause of prolonged illness or disability. Benefits are trigge red by specific findings of "cognitive impairment" \nor inability to perform certain actions known as "Activities of  Daily Living." Benefits  can range from help \nwith daily activities while recuperating at home to skilled nur sing care provided in a nursing home.', metadata={'page': 7, 'source': '/content/CommonInsuranceTerms (1).pdf'}, state={'embedded_doc': [0.10907948762178421, 0.09334351122379303, 0.41147854924201965, -0.3373779356479645, 0.4558241069316864, 0.5461165308952332, -0.052463024854660034, -0.43229037523269653, -0.06157633662223816, 0.09955484420061111, -0.6033256649971008, -0.05812996253371239, 0.7388888001441956, -0.011550833471119404, -0.5817828178405762, -0.08132432401180267, 0.28581276535987854, 0.19416825473308563, -0.9401135444641113, 0.03855099529027939, 0.05326114594936371, -0.19157925248146057, 0.30139845609664917, -0.2001981884241104, -0.016954798251390457, 0.03628414496779442, -0.1967252641916275, -0.5722499489784241, -0.3008680045604706, -0.3260952830314636, 0.262993186712265, -0.470098614692688, -0.657173752784729, -0.17747528851032257, 0.24151559174060822, 0.9234574437141418, 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  _DocumentWithState(page_content='because of prolonged illness or disability. Benefits are trigge red by specific findings of "cognitive impairment" \nor inability to perform certain actions known as "Activities of  Daily Living." Benefits  can range from help \nwith daily activities while recuperating at home to skilled nur sing care provided in a nursing home.', metadata={'page': 7, 'source': '/content/CommonInsuranceTerms (1).pdf'}, state={'embedded_doc': [0.2193884253501892, 0.3908122181892395, 0.014659926295280457, -0.2731555104255676, 0.2924192249774933, 0.6941999793052673, 0.2676321566104889, -0.45316028594970703, -0.018273770809173584, 0.05401374399662018, -0.4481824040412903, -0.008003979921340942, 0.7279651165008545, -0.04766766354441643, -0.6827098727226257, -0.015044593252241611, 0.2702178359031677, 0.08200348913669586, -0.7752257585525513, 0.1627918928861618, -0.1658470332622528, -0.08786451816558838, 0.37876030802726746, -0.1350564956665039, -0.04351965710520744, 0.20903447270393372, -0.15911629796028137, -0.5303157567977905, -0.6168208718299866, -0.2684033215045929, 0.20239365100860596, -0.4092490077018738, -0.5102187395095825, -0.3398668169975281, 0.28586262464523315, 1.106691598892212, 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创建新管道


压缩器 + 冗余过滤器 + 相关过滤器


压缩器:LLMChainExtractor,它将对最初返回的文档进行迭代,并从每个文档中提取仅与查询相关的内容。


#
compressor = LLMChainExtractor.from_llm(llm=OpenAI(temperature=0.3,openai_api_key=api_key))
#
new_pipeline = DocumentCompressorPipeline(transformers=[compressor,redundant_filter,relevant_filter])
new_compression_retriever = ContextualCompressionRetriever(base_retriever=retriever,
                                                       base_compressor=new_pipeline)
compressed_docs = new_compression_retriever.get_relevant_documents(query="What is Coinsurance?")
pretty_print_docs(compressed_docs)
###### RESPONSE ##########
Document1:
Coinsurance - The percentage of each health care bill a person must pay out of their own pocket. Coinsurance maximum - The most you will have to pay in coinsurance during a policy period (usually a year) before your health plan begins paying 100 percent of the cost of your covered health services.


实施问题回答链


from langchain.chains import RetrievalQA
qa = RetrievalQA.from_chain_type(llm=llm,
                                 chain_type="stuff",
                                 retriever=new_compression_retriever,
                                 chain_type_kwargs=chain_type_kwargs,
                                 return_source_documents=True,
                                 verbose=True)
#
response = qa("What is Coinsurance?")
print(response['result'].split("<|endoftext|>")[0])
##### RESPONSE #######
  Finished chain.
 No, Coinsurance is the percentage of each health care bill a person must pay out of their own pocket.


结论


总之,解决文档存储系统中信息检索的挑战需要一种深思熟虑的方法来提升效率和响应性。在数据摄入过程中,对特定查询的固有不确定性往往会导致文档中包含无关信息。这反过来可能导致使用大型语言模型时成本增加和响应效果不佳。上下文压缩的概念作为解决这一问题的有价值方案而出现。通过使用基础检索器来收集多样化的信息,然后利用文档压缩器,系统能够过滤并处理数据,只保留回应用户查询所必需的相关细节。这种方法不仅优化了资源的使用,而且还有助于整个系统性能和用户体验的全面提升。

文章来源:https://medium.aiplanet.com/implement-contextual-compression-and-filtering-in-rag-pipeline-4e9d4a92aa8f
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