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🦜🔗 LangChain 0.0.139

Getting Started

  • 入门指南

Modules

  • Models(模型)
    • LLMs (大语言模型)
      • Getting Started
      • 通用功能
        • 如何使用 LLM 的异步 API
        • 如何写一个自定义的LLM包装器
        • How (and why) to use the fake LLM
        • How to cache LLM calls
        • How to serialize LLM classes
        • 如何实现 LLM 和 Chat Model 的流式响应
        • How to track token usage
      • Integrations
        • AI21
        • Aleph Alpha
        • Anthropic
        • Azure OpenAI LLM Example
        • Banana
        • CerebriumAI LLM Example
        • Cohere
        • DeepInfra LLM Example
        • ForefrontAI LLM Example
        • GooseAI LLM Example
        • GPT4All
        • Hugging Face Hub
        • Llama-cpp
        • Manifest
        • Modal
        • OpenAI
        • Petals LLM Example
        • PromptLayer OpenAI
        • Replicate
        • SageMakerEndpoint
        • Self-Hosted Models via Runhouse
        • StochasticAI
        • Writer
      • Reference
    • Chat Models
      • Getting Started
      • How-To Guides
        • How to use few shot examples
        • How to stream responses
      • Integrations
        • Azure
        • OpenAI
        • PromptLayer ChatOpenAI
    • Text Embedding Models
      • Aleph Alpha
      • AzureOpenAI
      • Cohere
      • Fake Embeddings
      • Hugging Face Hub
      • InstructEmbeddings
      • Jina
      • Llama-cpp
      • OpenAI
      • SageMaker Endpoint Embeddings
      • Self Hosted Embeddings
      • TensorflowHub
  • Prompts
    • Prompt Templates
      • Getting Started
      • How-To Guides
        • How to create a custom prompt template
        • How to create a prompt template that uses few shot examples
        • How to work with partial Prompt Templates
        • How to serialize prompts
      • Reference
        • PromptTemplates
        • Example Selector
    • Chat Prompt Template
    • Example Selectors
      • How to create a custom example selector
      • LengthBased ExampleSelector
      • Maximal Marginal Relevance ExampleSelector
      • NGram Overlap ExampleSelector
      • Similarity ExampleSelector
    • Output Parsers
      • Output Parsers
      • CommaSeparatedListOutputParser
      • OutputFixingParser
      • PydanticOutputParser
      • RetryOutputParser
      • Structured Output Parser
  • Indexes
    • Getting Started
    • Document Loaders
      • CoNLL-U
      • Airbyte JSON
      • Apify Dataset
      • AZLyrics
      • Azure Blob Storage Container
      • Azure Blob Storage File
      • BigQuery Loader
      • Bilibili
      • Blackboard
      • College Confidential
      • Copy Paste
      • CSV Loader
      • DataFrame Loader
      • Directory Loader
      • DuckDB Loader
      • Email
      • EPubs
      • EverNote
      • Facebook Chat
      • Figma
      • GCS Directory
      • GCS File Storage
      • Git
      • GitBook
      • Google Drive
      • Gutenberg
      • Hacker News
      • HTML
      • iFixit
      • Images
      • IMSDb
      • Markdown
      • Notebook
      • Notion
      • Notion DB Loader
      • Obsidian
      • PDF
      • PowerPoint
      • ReadTheDocs Documentation
      • Roam
      • s3 Directory
      • s3 File
      • Sitemap Loader
      • Slack (Local Exported Zipfile)
      • Subtitle Files
      • Telegram
      • Unstructured File Loader
      • URL
      • Web Base
      • WhatsApp Chat
      • Word Documents
      • YouTube
    • Text Splitters
      • Getting Started
      • Character Text Splitter
      • Hugging Face Length Function
      • Latex Text Splitter
      • Markdown Text Splitter
      • NLTK Text Splitter
      • Python Code Text Splitter
      • RecursiveCharacterTextSplitter
      • Spacy Text Splitter
      • tiktoken (OpenAI) Length Function
      • TiktokenText Splitter
    • Vectorstores
      • Getting Started
      • AtlasDB
      • Chroma
      • Deep Lake
      • ElasticSearch
      • FAISS
      • Milvus
      • OpenSearch
      • PGVector
      • Pinecone
      • Qdrant
      • Redis
      • Weaviate
      • Zilliz
    • Retrievers
      • ChatGPT Plugin Retriever
      • Databerry
      • ElasticSearch BM25
      • Metal
      • Pinecone Hybrid Search
      • TF-IDF Retriever
      • VectorStore Retriever
      • Weaviate Hybrid Search
  • Memory
    • Getting Started
    • How-To Guides
      • ConversationBufferMemory
      • ConversationBufferWindowMemory
      • Entity Memory
      • Conversation Knowledge Graph Memory
      • ConversationSummaryMemory
      • ConversationSummaryBufferMemory
      • ConversationTokenBufferMemory
      • VectorStore-Backed Memory
      • 如何给 LLM Chain(大语言模型链)添加 Memeory(记忆)
      • How to add memory to a Multi-Input Chain
      • How to add Memory to an Agent
      • 给Agent(代理)添加由数据库支持的消息存储
      • How to customize conversational memory
      • How to create a custom Memory class
      • Motörhead Memory
      • How to use multiple memory classes in the same chain
      • Postgres Chat Message History
      • Redis Chat Message History
  • Chains
    • Getting Started
    • How-To Guides
      • Async API for Chain
      • Loading from LangChainHub
      • LLM Chain
      • Sequential Chains
      • Serialization
      • Transformation Chain
      • Analyze Document
      • Chat Over Documents with Chat History
      • Graph QA
      • Hypothetical Document Embeddings
      • Question Answering with Sources
      • Question Answering
      • Summarization
      • Retrieval Question/Answering
      • Retrieval Question Answering with Sources
      • Vector DB Text Generation
      • API Chains
      • Self-Critique Chain with Constitutional AI
      • BashChain
      • LLMCheckerChain
      • LLM Math
      • LLMRequestsChain
      • LLMSummarizationCheckerChain
      • Moderation
      • OpenAPI Chain
      • PAL
      • SQL Chain example
    • Reference
  • Agents
    • Getting Started
    • Tools
      • Getting Started
      • Defining Custom Tools
      • Multi-Input Tools
      • Apify
      • Bash
      • Bing Search
      • ChatGPT Plugins
      • Google Search
      • Google Serper API
      • Human as a tool
      • IFTTT WebHooks
      • OpenWeatherMap API
      • Python REPL
      • Requests
      • Search Tools
      • SearxNG Search API
      • SerpAPI
      • Wikipedia API
      • Wolfram Alpha
      • Zapier Natural Language Actions API
    • Agents
      • Agent Types
      • Custom Agent
      • Custom LLM Agent
      • Custom LLM Agent (with a ChatModel)
      • Custom MRKL Agent
      • Custom MultiAction Agent
      • Custom Agent with Tool Retrieval
      • Conversation Agent (for Chat Models)
      • Conversation Agent
      • MRKL
      • MRKL Chat
      • ReAct
      • Self Ask With Search
    • Toolkits
      • CSV Agent
      • JSON Agent
      • OpenAPI agents
      • Natural Language APIs
      • Pandas Dataframe Agent
      • Python Agent
      • SQL Database Agent
      • Vectorstore Agent
    • Agent Executors
      • How to combine agents and vectorstores
      • How to use the async API for Agents
      • How to create ChatGPT Clone
      • How to access intermediate steps
      • How to cap the max number of iterations
      • How to use a timeout for the agent
      • How to add SharedMemory to an Agent and its Tools

Use Cases

  • Personal Assistants (Agents)
  • Question Answering over Docs
  • Chatbots
  • Querying Tabular Data
  • Code Understanding
  • Interacting with APIs
  • Summarization
  • Extraction
  • Evaluation
    • Agent Benchmarking: Search + Calculator
    • Agent VectorDB Question Answering Benchmarking
    • Benchmarking Template
    • Data Augmented Question Answering
    • Using Hugging Face Datasets
    • LLM Math
    • Evaluating an OpenAPI Chain
    • Question Answering Benchmarking: Paul Graham Essay
    • Question Answering Benchmarking: State of the Union Address
    • QA Generation
    • Question Answering
    • SQL Question Answering Benchmarking: Chinook

Reference

  • Installation
  • Integrations
  • API References
    • Prompts
      • PromptTemplates
      • Example Selector
    • Utilities
      • Python REPL
      • SerpAPI
      • SearxNG Search
      • Docstore
      • Text Splitter
      • Embeddings
      • VectorStores
    • Chains
    • Agents

Ecosystem

  • LangChain Ecosystem
    • AI21 Labs
    • Aim
    • Apify
    • AtlasDB
    • Banana
    • CerebriumAI
    • Chroma
    • ClearML Integration
    • Cohere
    • Comet
    • Databerry
    • DeepInfra
    • Deep Lake
    • ForefrontAI
    • Google Search Wrapper
    • Google Serper Wrapper
    • GooseAI
    • GPT4All
    • Graphsignal
    • Hazy Research
    • Helicone
    • Hugging Face
    • Jina
    • Llama.cpp
    • Milvus
    • Modal
    • NLPCloud
    • OpenAI
    • OpenSearch
    • Petals
    • PGVector
    • Pinecone
    • PromptLayer
    • Qdrant
    • Replicate
    • Runhouse
    • RWKV-4
    • SearxNG Search API
    • SerpAPI
    • StochasticAI
    • Unstructured
    • Weights & Biases
    • Weaviate
    • Wolfram Alpha Wrapper
    • Writer
    • Zilliz

Additional Resources

  • LangChainHub
  • Glossary
  • LangChain Gallery
  • Deployments
  • Tracing
  • Discord
  • Production Support
  • .ipynb

Google Search

Contents

  • Number of Results
  • Metadata Results

Google Search#

This notebook goes over how to use the google search component.

First, you need to set up the proper API keys and environment variables. To set it up, create the GOOGLE_API_KEY in the Google Cloud credential console (https://console.cloud.google.com/apis/credentials) and a GOOGLE_CSE_ID using the Programmable Search Enginge (https://programmablesearchengine.google.com/controlpanel/create). Next, it is good to follow the instructions found here.

Then we will need to set some environment variables.

import os
os.environ["GOOGLE_CSE_ID"] = ""
os.environ["GOOGLE_API_KEY"] = ""
from langchain.utilities import GoogleSearchAPIWrapper
search = GoogleSearchAPIWrapper()
search.run("Obama's first name?")
'1 Child\'s First Name. 2. 6. 7d. Street Address. 71. (Type or print). BARACK. Sex. 3. This Birth. 4. If Twin or Triplet,. Was Child Born. Barack Hussein Obama II is an American retired politician who served as the 44th president of the United States from 2009 to 2017. His full name is Barack Hussein Obama II. Since the “II” is simply because he was named for his father, his last name is Obama. Feb 9, 2015 ... Michael Jordan misspelled Barack Obama\'s first name on 50th-birthday gift ... Knowing Obama is a Chicagoan and huge basketball fan,\xa0... Aug 18, 2017 ... It took him several seconds and multiple clues to remember former President Barack Obama\'s first name. Miller knew that every answer had to end\xa0... First Lady Michelle LaVaughn Robinson Obama is a lawyer, writer, and the wife of the 44th President, Barack Obama. She is the first African-American First\xa0... Barack Obama, in full Barack Hussein Obama II, (born August 4, 1961, Honolulu, Hawaii, U.S.), 44th president of the United States (2009–17) and the first\xa0... When Barack Obama was elected president in 2008, he became the first African American to hold ... The Middle East remained a key foreign policy challenge. Feb 27, 2020 ... President Barack Obama was born Barack Hussein Obama, II, as shown here on his birth certificate here . As reported by Reuters here , his\xa0... Jan 16, 2007 ... 4, 1961, in Honolulu. His first name means "one who is blessed" in Swahili. While Obama\'s father, Barack Hussein Obama Sr., was from Kenya, his\xa0...'

Number of Results#

You can use the k parameter to set the number of results

search = GoogleSearchAPIWrapper(k=1)
search.run("python")
'The official home of the Python Programming Language.'

‘The official home of the Python Programming Language.’

Metadata Results#

Run query through GoogleSearch and return snippet, title, and link metadata.

  • Snippet: The description of the result.

  • Title: The title of the result.

  • Link: The link to the result.

search = GoogleSearchAPIWrapper()
search.results("apples", 5)
[{'snippet': 'Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment,\xa0...',
  'title': 'Apple',
  'link': 'https://www.apple.com/'},
 {'snippet': "Jul 10, 2022 ... Whether or not you're up on your apple trivia, no doubt you know how delicious this popular fruit is, and how nutritious. Apples are rich in\xa0...",
  'title': '25 Types of Apples and What to Make With Them - Parade ...',
  'link': 'https://parade.com/1330308/bethlipton/types-of-apples/'},
 {'snippet': 'An apple is an edible fruit produced by an apple tree (Malus domestica). Apple trees are cultivated worldwide and are the most widely grown species in the\xa0...',
  'title': 'Apple - Wikipedia',
  'link': 'https://en.wikipedia.org/wiki/Apple'},
 {'snippet': 'Apples are a popular fruit. They contain antioxidants, vitamins, dietary fiber, and a range of other nutrients. Due to their varied nutrient content,\xa0...',
  'title': 'Apples: Benefits, nutrition, and tips',
  'link': 'https://www.medicalnewstoday.com/articles/267290'},
 {'snippet': "An apple is a crunchy, bright-colored fruit, one of the most popular in the United States. You've probably heard the age-old saying, “An apple a day keeps\xa0...",
  'title': 'Apples: Nutrition & Health Benefits',
  'link': 'https://www.webmd.com/food-recipes/benefits-apples'}]

previous

ChatGPT Plugins

next

Google Serper API

Contents
  • Number of Results
  • Metadata Results

By Harrison Chase

© Copyright 2023, Harrison Chase.

Last updated on Apr 18, 2023.