The Open-Source Alternative to OpenAI Deep Research | Setup Tutorial

Welcome back! In this video, we dive into GPT Researcher, a powerful open-source alternative to OpenAI's Deep Research. Recently, OpenAI introduced Deep Research for pro subscribers at $200/month with a 100-article limit, but GPT Researcher offers similar capabilities—often for free or at a low cost—using improved reasoning and more affordable models.

What’s Covered in This Video:

An overview of GPT Researcher's architecture: Discover how the "planner" and "execution" agents work together to generate research questions and compile structured reports.

Step-by-step setup: Learn how to install Python 3.11+ and Node.js, set up your environment, and meet all mandatory requirements.

API Key Setup: We explain how to obtain and configure API keys for OpenAI and Tavily to get the most out of GPT Researcher.

Step 1: Clone the Repository

git clone https://github.com/assafelovic/gpt-researcher.git
cd gpt-researcher

Step 2: Create and Activate a Virtual Environment
python -m venv researcher
source researcher/bin/activate

Step 3: Install Dependencies
pip install -r requirements.txt

Step 4: Configure API Keys
Rename the environment file:
mv .env.example .env

Then, open .env and add your OPENAI_API_KEY and TAVILY_API_KEY.

Step 5: Start the Application
python -m uvicorn main:app --reload

Step 6: Access the Interface
Once the server is running, open your browser and go to:
http://127.0.0.1:3000

Documentation: https://docs.gptr.dev/docs/gpt-researcher/getting-started/introduction

Github link: https://github.com/assafelovic/gpt-researcher

Whether you're a developer, researcher, or just curious about open-source alternatives for deep research, this tutorial will help you get started quickly. Don’t forget to like, comment, and subscribe for more tech guides and tutorials!

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Видео The Open-Source Alternative to OpenAI Deep Research | Setup Tutorial канала AI Dev Diaries