Deeper Seeker

Overview

The Deeper seeker is a simpler OSS version of Deep Research launched by OpenAI. It is a tool designed to perform comprehensive market research, competitor analysis, and investment memo preparation.

The tool is built to:

• Conduct iterative research with continuous refinement.
• Generate structured search queries and analyze results.
• Produce well-formatted, actionable reports tailored to user queries.

---

Key Features

1. Iterative Research Workflow:

   • Plans research steps based on user queries.
   • Generates precise search queries using the Exa API.
   • Continuously refines research based on findings.

2. Structured Output:

   • Produces JSON-structured search queries for API calls.
   • Formats search results with highlights, citations, and summaries.

3. Comprehensive Reporting:

   • Synthesizes research findings into actionable reports.
   • Includes reasoning, plans, and link counts for transparency.

4. Customizable Queries:

   • Handles simple to complex research tasks, including:
     • Market research and sizing.
     • Competitor analysis.
     • Investment memo preparation.

---

How It Works

1. User Query:

   • The user provides a research query (e.g., "Analyze the global EV market in 2024").

2. Research Planning:

   • The AI creates a research plan, including reasoning and search queries.

3. Search Execution:

   • The tool uses the Exa API to search the web for relevant information.

4. Result Processing:

   • Search results are processed, formatted, and analyzed.

5. Iterative Refinement:

   • The AI evaluates the results, refines the plan, and performs additional searches if needed.

6. Final Report:

   • All findings are synthesized into a comprehensive, well-formatted report.

---

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/deep-research-assistant.git
   cd deep-research-assistant

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   • Create a .env file and add your API keys:

     EXA_API_KEY=your_exa_api_key
     OPENAI_API_KEY=your_openai_api_key
     

---

Usage

1. Run the script:

   python main.py

2. Enter your research query when prompted:

   Enter your query: Analyze the competitive landscape of the cloud computing industry.
   

3. View the research process and final report:

   • The tool will display reasoning, plans, search results, and link counts for each iteration.
   • The final report will be printed in the console.

---

Example Queries

Here are some sample queries to test the tool:

1. Market Research:

   • "Provide an overview of the global electric vehicle (EV) market in 2024."
   • "What are the current trends in the plant-based food industry?"

2. Competitor Analysis:

   • "Compare Tesla and Rivian in terms of market share and product offerings."
   • "Analyze the competitive landscape of the cloud computing industry."

3. Investment Memo Prep:

   • "Prepare a brief investment memo for a fintech startup specializing in blockchain-based payments."
   • "Evaluate the investment potential of the renewable energy sector."

---

Code Structure

• main.py: Main script for running the research assistant.
• exa_search(): Function to query the Exa API for search results.
• generate_research_step(): Function to create research plans and queries using OpenAI.
• process_search_results(): Function to format and analyze search results.
• ResearchAgent: Class to manage the iterative research process.

---

Dependencies

• Python 3.8+
• Libraries:
  • openai: For AI-powered reasoning and planning.
  • requests: For making API calls to Exa.
  • colorama: For colored console output.
  • pydantic: For data validation.

---

Configuration

• Exa API Key: Required for web search functionality. Sign up at Exa AI.
• OpenAI API Key: Required for AI reasoning and planning. Sign up at OpenAI.

---

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Submit a pull request with a detailed description of your changes.

---

Acknowledgments

• Exa AI: For providing the web search API.
• OpenAI: For powering the AI reasoning and planning capabilities.

---

Future Enhancements

• Improve reasoning and task planning
• Enhance the web content extraction with firecrawl.
• Add support for additional data sources.
• Implement a web-based interface for easier interaction.
• Enable export of reports in multiple formats (PDF, Markdown, etc.).
• Add advanced analytics and visualization capabilities.

---

Happy researching! 🚀