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WatsonxRerank

WatsonxRerank 是 IBM watsonx.ai 基础模型的封装器。

本笔记本展示了如何在检索器中使用watsonx的rerank端点。这是在ContextualCompressionRetriever中的想法基础上构建的。

概述​

集成详情​

类包JS 支持包下载量包最新版本
WatsonxReranklangchain-ibm✅PyPI - 下载量PyPI - 版本

设置​

要访问IBM watsonx.ai模型，您需要创建一个IBM watsonx.ai账户，获取一个API密钥，并安装langchain-ibm集成包。

凭证​

下面的单元格定义了使用watsonx基础模型推理所需的凭据。

操作： 提供IBM Cloud用户API密钥。详情请参阅 管理用户API密钥。

import os
from getpass import getpass

watsonx_api_key = getpass()
os.environ["WATSONX_APIKEY"] = watsonx_api_key

此外，您还可以将额外的密钥作为环境变量传递。

import os

os.environ["WATSONX_URL"] = "your service instance url"
os.environ["WATSONX_TOKEN"] = "your token for accessing the CPD cluster"
os.environ["WATSONX_PASSWORD"] = "your password for accessing the CPD cluster"
os.environ["WATSONX_USERNAME"] = "your username for accessing the CPD cluster"
os.environ["WATSONX_INSTANCE_ID"] = "your instance_id for accessing the CPD cluster"

安装​

LangChain IBM 集成位于 langchain-ibm 包中：

!pip install -qU langchain-ibm
!pip install -qU langchain-community
!pip install -qU langchain_text_splitters

出于实验目的，请同时安装 faiss 或 faiss-cpu 包：

!pip install --upgrade --quiet  faiss

# OR  (depending on Python version)

!pip install --upgrade --quiet  faiss-cpu

用于打印文档的辅助函数

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)]
        )
    )

实例化​

设置基础向量存储检索器​

让我们首先初始化一个简单的向量存储检索器，并存储2023年国情咨文演讲（分块）。我们可以设置检索器以检索大量（20个）文档。

初始化 WatsonxEmbeddings。更多详情请参见 WatsonxEmbeddings。

注意:

  • 为了提供API调用的上下文，您必须添加project_id或space_id。更多信息请参见文档。
  • 根据您提供的服务实例的区域，使用这里描述的其中一个URL。

在这个例子中，我们将使用project_id和达拉斯URL。

您需要指定将用于嵌入的model_id。所有可用的模型您可以在文档中找到。

from langchain_ibm import WatsonxEmbeddings

wx_embeddings = WatsonxEmbeddings(
    model_id="ibm/slate-125m-english-rtrvr",
    url="https://us-south.ml.cloud.ibm.com",
    project_id="PASTE YOUR PROJECT_ID HERE",
)
API Reference:WatsonxEmbeddings
from langchain_community.document_loaders import TextLoader
from langchain_community.vectorstores import FAISS
from langchain_text_splitters import RecursiveCharacterTextSplitter

documents = TextLoader("../../how_to/state_of_the_union.txt").load()
text_splitter = RecursiveCharacterTextSplitter(chunk_size=500, chunk_overlap=100)
texts = text_splitter.split_documents(documents)
retriever = FAISS.from_documents(texts, wx_embeddings).as_retriever(
    search_kwargs={"k": 20}
)

query = "What did the president say about Ketanji Brown Jackson"
docs = retriever.invoke(query)
pretty_print_docs(docs[:5])  # Printing the first 5 documents
Document 1:

One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court. 

And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.
----------------------------------------------------------------------------------------------------
Document 2:

I spoke with their families and told them that we are forever in debt for their sacrifice, and we will carry on their mission to restore the trust and safety every community deserves. 

I’ve worked on these issues a long time. 

I know what works: Investing in crime prevention and community police officers who’ll walk the beat, who’ll know the neighborhood, and who can restore trust and safety. 

So let’s not abandon our streets. Or choose between safety and equal justice.
----------------------------------------------------------------------------------------------------
Document 3:

He met the Ukrainian people. 

From President Zelenskyy to every Ukrainian, their fearlessness, their courage, their determination, inspires the world. 

Groups of citizens blocking tanks with their bodies. Everyone from students to retirees teachers turned soldiers defending their homeland. 

In this struggle as President Zelenskyy said in his speech to the European Parliament “Light will win over darkness.” The Ukrainian Ambassador to the United States is here tonight.
----------------------------------------------------------------------------------------------------
Document 4:

As I said last year, especially to our younger transgender Americans, I will always have your back as your President, so you can be yourself and reach your God-given potential. 

While it often appears that we never agree, that isn’t true. I signed 80 bipartisan bills into law last year. From preventing government shutdowns to protecting Asian-Americans from still-too-common hate crimes to reforming military justice.
----------------------------------------------------------------------------------------------------
Document 5:

To all Americans, I will be honest with you, as I’ve always promised. A Russian dictator, invading a foreign country, has costs around the world. 

And I’m taking robust action to make sure the pain of our sanctions  is targeted at Russia’s economy. And I will use every tool at our disposal to protect American businesses and consumers. 

Tonight, I can announce that the United States has worked with 30 other countries to release 60 Million barrels of oil from reserves around the world.

用法​

使用WatsonxRerank进行重新排序​

现在让我们用ContextualCompressionRetriever包装我们的基础检索器。我们将添加一个WatsonxRerank，使用watsonx重新排序端点来重新排序返回的结果。 请注意，在WatsonxRerank中指定模型名称是强制性的！

from langchain_ibm import WatsonxRerank

wx_rerank = WatsonxRerank(
    model_id="ibm/slate-125m-english-rtrvr",
    url="https://us-south.ml.cloud.ibm.com",
    project_id="PASTE YOUR PROJECT_ID HERE",
)
API Reference:WatsonxRerank
from langchain.retrievers.contextual_compression import ContextualCompressionRetriever

compression_retriever = ContextualCompressionRetriever(
    base_compressor=wx_rerank, base_retriever=retriever
)

compressed_docs = compression_retriever.invoke(
    "What did the president say about Ketanji Jackson Brown"
)
pretty_print_docs(compressed_docs[:5])  # Printing the first 5 compressed documents
Document 1:

One of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court. 

And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.
----------------------------------------------------------------------------------------------------
Document 2:

As I said last year, especially to our younger transgender Americans, I will always have your back as your President, so you can be yourself and reach your God-given potential. 

While it often appears that we never agree, that isn’t true. I signed 80 bipartisan bills into law last year. From preventing government shutdowns to protecting Asian-Americans from still-too-common hate crimes to reforming military justice.
----------------------------------------------------------------------------------------------------
Document 3:

To all Americans, I will be honest with you, as I’ve always promised. A Russian dictator, invading a foreign country, has costs around the world. 

And I’m taking robust action to make sure the pain of our sanctions  is targeted at Russia’s economy. And I will use every tool at our disposal to protect American businesses and consumers. 

Tonight, I can announce that the United States has worked with 30 other countries to release 60 Million barrels of oil from reserves around the world.
----------------------------------------------------------------------------------------------------
Document 4:

I spoke with their families and told them that we are forever in debt for their sacrifice, and we will carry on their mission to restore the trust and safety every community deserves. 

I’ve worked on these issues a long time. 

I know what works: Investing in crime prevention and community police officers who’ll walk the beat, who’ll know the neighborhood, and who can restore trust and safety. 

So let’s not abandon our streets. Or choose between safety and equal justice.
----------------------------------------------------------------------------------------------------
Document 5:

He met the Ukrainian people. 

From President Zelenskyy to every Ukrainian, their fearlessness, their courage, their determination, inspires the world. 

Groups of citizens blocking tanks with their bodies. Everyone from students to retirees teachers turned soldiers defending their homeland. 

In this struggle as President Zelenskyy said in his speech to the European Parliament “Light will win over darkness.” The Ukrainian Ambassador to the United States is here tonight.

在链中使用​

当然，您可以在QA管道中使用此检索器

初始化 ChatWatsonx。更多详情请参阅 ChatWatsonx。

from langchain_ibm import ChatWatsonx

wx_chat = ChatWatsonx(
    model_id="meta-llama/llama-3-1-70b-instruct",
    url="https://us-south.ml.cloud.ibm.com",
    project_id="PASTE YOUR PROJECT_ID HERE",
)
API Reference:ChatWatsonx
from langchain.chains import RetrievalQA

chain = RetrievalQA.from_chain_type(llm=wx_chat, retriever=compression_retriever)
API Reference:RetrievalQA
chain.invoke(query)
{'query': 'What did the president say about Ketanji Brown Jackson',
 'result': 'The President said that he had nominated Circuit Court of Appeals Judge Ketanji Brown Jackson to serve on the United States Supreme Court, and described her as "one of our nation\'s top legal minds" who will continue Justice Breyer\'s legacy of excellence.'}

API参考​

有关所有WatsonxRerank功能和配置的详细文档，请访问API参考。

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