Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 16:24:09 +00:00
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# SerpAPI
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This page covers how to use the SerpAPI search APIs within LangChain.
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2023-01-22 21:10:24 +00:00
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It is broken into two parts: installation and setup, and then references to the specific SerpAPI wrapper.
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Docs refactor (#480)
Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:
- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.
There is also a full reference section, as well as extra resources
(glossary, gallery, etc)
Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
2023-01-02 16:24:09 +00:00
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## Installation and Setup
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- Install requirements with `pip install google-search-results`
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- Get a SerpAPI api key and either set it as an environment variable (`SERPAPI_API_KEY`)
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## Wrappers
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### Utility
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There exists a SerpAPI utility which wraps this API. To import this utility:
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```python
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from langchain.utilities import SerpAPIWrapper
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```
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For a more detailed walkthrough of this wrapper, see [this notebook](../modules/utils/examples/serpapi.ipynb).
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### Tool
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You can also easily load this wrapper as a Tool (to use with an Agent).
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You can do this with:
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```python
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from langchain.agents import load_tools
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tools = load_tools(["serpapi"])
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```
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For more information on this, see [this page](../modules/agents/tools.md)
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