🤖 Vector Brain - LLM Chatbot with PDF Vectorization

Welcome to Vector Brain! This project showcases how to build an intelligent chatbot using LLMs and PDF document vectorization. The goal is to enable contextual Q&A over a technical e-book using state-of-the-art AI.

📚 Document Used

The vectorized PDF is the official free Databricks e-book (PT-BR version):
TAP FULL POTENTIAL LLM - Databricks

✨ Demo

Check out some scenes of the project in action:

Scene 1: Chatbot initialization and loading of the vectorized PDF document.

Scene 2: User asks a question about the e-book content and receives a contextualized answer.

Scene 3: Demonstration of chat session ending with a friendly message.

🚀 How to Use

Follow these steps to run the project locally:

1. Clone the repository

   git clone https://github.com/your-username/Vector-Brain.git
   cd Vector-Brain
   

2. Create and activate a virtual environment

   python3 -m venv .venv
   source .venv/bin/activate  # Linux/Mac
   .venv\Scripts\activate     # Windows
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Set up your OpenAI key

   • Create a .env file in the project root with:

     OPENAI_API_KEY=your-openai-key-here
     

5. Run the application

   python main.py
   

6. Chat with the bot

   • Ask questions about the e-book content directly in the terminal.