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langchain/docs/integrations/google_search.md
Leonid Ganeline e2d7677526
docs: compound ecosystem and integrations (#4870) 
# Docs: compound ecosystem and integrations

**Problem statement:** We have a big overlap between the
References/Integrations and Ecosystem/LongChain Ecosystem pages. It
confuses users. It creates a situation when new integration is added
only on one of these pages, which creates even more confusion.
- removed References/Integrations page (but move all its information
into the individual integration pages - in the next PR).
- renamed Ecosystem/LongChain Ecosystem into Integrations/Integrations.
I like the Ecosystem term. It is more generic and semantically richer
than the Integration term. But it mentally overloads users. The
`integration` term is more concrete.
UPDATE: after discussion, the Ecosystem is the term.
Ecosystem/Integrations is the page (in place of Ecosystem/LongChain
Ecosystem).

As a result, a user gets a single place to start with the individual
integration.
2023-05-18 09:29:57 -07:00

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Google Search

This page covers how to use the Google Search API within LangChain. It is broken into two parts: installation and setup, and then references to the specific Google Search wrapper.

Installation and Setup

  • Install requirements with pip install google-api-python-client
  • Set up a Custom Search Engine, following these instructions
  • Get an API Key and Custom Search Engine ID from the previous step, and set them as environment variables GOOGLE_API_KEY and GOOGLE_CSE_ID respectively

Wrappers

Utility

There exists a GoogleSearchAPIWrapper utility which wraps this API. To import this utility:

from langchain.utilities import GoogleSearchAPIWrapper

For a more detailed walkthrough of this wrapper, see this notebook.

Tool

You can also easily load this wrapper as a Tool (to use with an Agent). You can do this with:

from langchain.agents import load_tools
tools = load_tools(["google-search"])

For more information on this, see this page