Build a Custom AI Research Assistant: Step-by-Step Tutorial with OpenAI & LangChain
1. What You’ll Need Before You Start
- An OpenAI API key (sign up at platform.openai.com and add $5–$10 in credits).
- Python 3.10+ installed on your machine and a code editor (VS Code recommended).
- Basic familiarity with the command line and Python syntax—no AI experience required.
2. Setting Up Your Project Environment
- Create a new project folder, set up a virtual environment, and install core dependencies (
pip install openai langchain python-dotenv streamlit). - Store your API key securely in a
.envfile and load it usingpython-dotenv—never hardcode keys. - Verify your setup by running a quick test script that calls the OpenAI Chat Completions endpoint with a simple prompt.
3. Designing the🤖 Editor's Pick
Editor's Pick: beginner-friendly coding notebook for step-by-step AI tool tutorials.
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🤖 Editor's Pick
Editor's Pick: beginner-friendly coding notebook for step-by-step AI tool tutorials.
Get the AI Edge, Weekly
The tools, tutorials, and trends that actually pay — no hype.
