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# AIMind Tool
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## Description
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[Minds](https://mindsdb.com/minds) are AI systems provided by [MindsDB](https://mindsdb.com/) that work similarly to large language models (LLMs) but go beyond by answering any question from any data.
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This is accomplished by selecting the most relevant data for an answer using parametric search, understanding the meaning and providing responses within the correct context through semantic search, and finally, delivering precise answers by analyzing data and using machine learning (ML) models.
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## Installation
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1. Install the `crewai[tools]` package:
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```shell
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pip install 'crewai[tools]'
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```
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2. Install the Minds SDK:
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```shell
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pip install minds-sdk
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```
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3. Sign for a Minds account [here](https://mdb.ai/register), and obtain an API key.
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4. Set the Minds API key in an environment variable named `MINDS_API_KEY`.
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## Usage
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```python
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from crewai_tools import AIMindTool
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# Initialize the AIMindTool.
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aimind_tool = AIMindTool(
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datasources=[
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{
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"description": "house sales data",
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"engine": "postgres",
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"connection_data": {
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"user": "demo_user",
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"password": "demo_password",
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"host": "samples.mindsdb.com",
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"port": 5432,
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"database": "demo",
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"schema": "demo_data"
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},
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"tables": ["house_sales"]
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}
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]
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)
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```
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The `datasources` parameter is a list of dictionaries, each containing the following keys:
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- `description`: A description of the data contained in the datasource.
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- `engine`: The engine (or type) of the datasource.
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- `connection_data`: A dictionary containing the connection parameters for the datasource.
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- `tables`: A list of tables that the data source will use.
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A list of supported data sources and their connection parameters can be found [here](https://docs.mdb.ai/docs/data_sources).
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```python
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from crewai import Agent
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from crewai.project import agent
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# Define an agent with the AIMindTool.
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@agent
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def researcher(self) -> Agent:
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return Agent(
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config=self.agents_config["researcher"],
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allow_delegation=False,
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tools=[aimind_tool]
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)
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```
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