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 .env file and load it using python-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

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Written byTheo Grant

Theo Grant explores real-world AI applications, automation workflows, and hands-on tutorials at AI In Action Hub. Theo breaks down complex AI concepts into practical guides that help professionals and creators leverage AI in their daily work.