mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
1f11f80641
# 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
1.2 KiB
1.2 KiB
Wolfram Alpha
WolframAlpha is an answer engine developed by
Wolfram Research
. It answers factual queries by computing answers from externally sourced data.
This page covers how to use the Wolfram Alpha API
within LangChain.
Installation and Setup
- Install requirements with
pip install wolframalpha
- Go to wolfram alpha and sign up for a developer account here
- Create an app and get your
APP ID
- Set your APP ID as an environment variable
WOLFRAM_ALPHA_APPID
Wrappers
Utility
There exists a WolframAlphaAPIWrapper utility which wraps this API. To import this utility:
from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper
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(["wolfram-alpha"])
For more information on this, see this page