WatsonxRerank

WatsonxRerank is a wrapper for IBM watsonx.ai foundation models.

本笔记本展示了如何在检索器中使用watsonx的重排序端点。这是基于上下文压缩检索器中的概念构建的。

概览

集成详情

类	包	JS 支持	软件包下载	最新包裹
WatsonxRerank	langchain-ibm	✅

设置

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

凭据

下面的单元格定义了与 watsonx 基础模型推理一起使用所需的凭据。

操作：提供IBM Cloud用户的API密钥。有关详细信息，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

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

初始化 WatsonxEmbeddings。更多详细信息，请参见 WatsonxEmbeddings。

注意:

• 为了给API调用提供上下文，您必须添加project_id或space_id。更多信息请参见文档。
• 根据您配置的服务实例的区域，使用此处描述的其中一个URL。

在此示例中，我们将使用 project_id 和 Dallas URL。

您需要指定用于嵌入的 model_id。您可以在文档中找到所有可用的模型。

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 参考：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

API 参考：TextLoader | FAISS | RecursiveCharacterTextSplitter

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.

使用

使用WatsonxRerank进行重排序

现在让我们用一个 ContextualCompressionRetriever 包装我们的基础检索器。我们将添加一个 WatsonxRerank，使用 watsonx 重排序端点对返回的结果进行重排序。 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="cross-encoder/ms-marco-minilm-l-12-v2",
    url="https://us-south.ml.cloud.ibm.com",
    project_id="PASTE YOUR PROJECT_ID HERE",
)

API 参考：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

API 参考：ContextualCompressionRetriever

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

你当然可以在问答管道中使用这个检索器。

初始化 ChatWatsonx。更多详情请参见 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 参考：ChatWatsonx

from langchain.chains import RetrievalQA

chain = RetrievalQA.from_chain_type(llm=wx_chat, retriever=compression_retriever)

API 参考：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。

相关

• 检索器 概念指南
• 检索器 操操作指南