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# docs cleaning Changed docs to consistent format (probably, we need an official doc integration template): - ClearML - added product descriptions; changed title/headers - Rebuff - added product descriptions; changed title/headers - WhyLabs - added product descriptions; changed title/headers - Docugami - changed title/headers/structure - Airbyte - fixed title - Wolfram Alpha - added descriptions, fixed title - OpenWeatherMap - - added product descriptions; changed title/headers - Unstructured - changed description ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @hwchase17 @dev2049
40 lines
1.2 KiB
Markdown
40 lines
1.2 KiB
Markdown
# Wolfram Alpha
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>[WolframAlpha](https://en.wikipedia.org/wiki/WolframAlpha) is an answer engine developed by `Wolfram Research`.
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> It answers factual queries by computing answers from externally sourced data.
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This page covers how to use the `Wolfram Alpha API` within LangChain.
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## Installation and Setup
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- Install requirements with
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```bash
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pip install wolframalpha
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```
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- Go to wolfram alpha and sign up for a developer account [here](https://developer.wolframalpha.com/)
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- Create an app and get your `APP ID`
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- Set your APP ID as an environment variable `WOLFRAM_ALPHA_APPID`
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## Wrappers
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### Utility
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There exists a WolframAlphaAPIWrapper utility which wraps this API. To import this utility:
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```python
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from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper
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```
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For a more detailed walkthrough of this wrapper, see [this notebook](../modules/agents/tools/examples/wolfram_alpha.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(["wolfram-alpha"])
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```
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For more information on this, see [this page](../modules/agents/tools/getting_started.md)
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