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A package for automated research data collection using LLMs and Web Search API
The AI Research CLI Tool is a command-line interface designed to assist users in generating structured, tabular data for research purposes. By leveraging the Bing Web Search API and the GPT-4o model, this tool transforms raw research topics into organized data that can be easily exported and utilized.
To install the necessary dependencies, you can use the following command:
pip install -r requirements.txt
Start the Application: Run the CLI tool from your terminal.
python grid/cli.py
Input Research Topic: When prompted, enter the topic you would like to research.
Choose Header Creation Method:
Specify Number of Rows: Indicate how many rows of data you wish to generate.
Data Generation: The tool will perform a web search using the Bing API and generate structured data based on the retrieved information.
Export Data: The generated data will be returned in a pandas.DataFrame, ready for your use.
Make sure to set the following environment variables in your .env
file:
OPENAI_API_KEY=your_openai_api_key
BING_SEARCH_V7_SUBSCRIPTION_KEY=your_bing_search_api_key
Contributions are welcome! If you have suggestions for improvements or new features, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for more details.
FAQs
A package for automated research data collection using LLMs and Web Search API
We found that grid-research demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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