Research Tool

This project is a Python-based research assistant that uses AI to answer user queries. It generates a research report including a summary, sources, and a list of tools used.

How it Works

1. The user enters a research query.
2. The AI agent, built with langchain, uses a combination of web search (DuckDuckGoSearchRun) and Wikipedia search (WikipediaQueryRun) to gather information.
3. The agent then generates a research report with a summary and a list of sources.
4. The report is automatically saved to a file named research_output.txt.

Setup

1. Clone the repository:

   git clone https://github.com/your-username/research-tool.git
   cd research-tool

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

4. Create a .env file and add your Google API key:

   GOOGLE_API_KEY="your-api-key"
   

5. Run the application:

   python main.py

Files

• main.py: The main entry point of the application. It takes user input, runs the research agent, and prints the output.
• tools.py: Defines the tools used by the agent, including web search, Wikipedia search, and a tool to save the output to a file.
• requirements.txt: A list of the Python packages required to run the project.
• research_output.txt: The file where the research reports are saved.
• .gitignore: Specifies which files and directories to ignore in the Git repository.