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* docs(cli): document device-code login and config reset guidance; renumber sections * docs(cli): fix duplicate numbering (renumber Login/API Keys/Configuration sections) * docs: Fix webhook documentation to include meta dict in all webhook payloads - Add note explaining that meta objects from kickoff requests are included in all webhook payloads - Update webhook examples to show proper payload structure including meta field - Fix webhook examples to match actual API implementation - Apply changes to English, Korean, and Portuguese documentation Resolves the documentation gap where meta dict passing to webhooks was not documented despite being implemented in the API. * WIP: CrewAI docs theme, changelog, GEO, localization * docs(cli): fix merge markers; ensure mode: "wide"; convert ASCII tables to Markdown (en/pt-BR/ko) * docs: add group icons across locales; split Automation/Integrations; update tools overviews and links
54 lines
1.8 KiB
Plaintext
54 lines
1.8 KiB
Plaintext
---
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title: EXA Search Web Loader
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description: The `EXASearchTool` is designed to perform a semantic search for a specified query from a text's content across the internet.
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icon: globe-pointer
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mode: "wide"
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---
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# `EXASearchTool`
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## Description
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The EXASearchTool is designed to perform a semantic search for a specified query from a text's content across the internet.
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It utilizes the [exa.ai](https://exa.ai/) API to fetch and display the most relevant search results based on the query provided by the user.
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## Installation
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To incorporate this tool into your project, follow the installation instructions below:
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```shell
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pip install 'crewai[tools]'
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```
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## Example
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The following example demonstrates how to initialize the tool and execute a search with a given query:
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```python Code
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from crewai_tools import EXASearchTool
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# Initialize the tool for internet searching capabilities
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tool = EXASearchTool()
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```
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## Steps to Get Started
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To effectively use the EXASearchTool, follow these steps:
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<Steps>
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<Step title="Package Installation">
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Confirm that the `crewai[tools]` package is installed in your Python environment.
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</Step>
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<Step title="API Key Acquisition">
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Acquire a [exa.ai](https://exa.ai/) API key by registering for a free account at [exa.ai](https://exa.ai/).
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</Step>
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<Step title="Environment Configuration">
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Store your obtained API key in an environment variable named `EXA_API_KEY` to facilitate its use by the tool.
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</Step>
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</Steps>
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## Conclusion
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By integrating the `EXASearchTool` into Python projects, users gain the ability to conduct real-time, relevant searches across the internet directly from their applications.
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By adhering to the setup and usage guidelines provided, incorporating this tool into projects is streamlined and straightforward.
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