AI Assistant

Introduction

This project provides a chatbot that interacts with users based on the contents of provided documents. It integrates AI capabilities to understand and respond to user queries using the context of the documents stored in a vector database.

Features

Natural Language Processing with LangChain and OpenAI
Efficient document storage and retrieval with Supabase
React-based front-end with TailwindCSS for styling
Persistent chat history using local storage

Technologies Used

Setup

Follow these steps to set up the project locally:

Clone the repository:

git clone https://github.com/jacky-xbb/ai-assistant
cd chatbot-docs

Install dependencies:
```
npm install
```

Set up environment variables: Create a .env file in the root of your project and add your API keys:

VITE_SUPABASE_BASE_URL=your-supabase-url
VITE_SUPABASE_API_KEY=your-supabase-api-key
VITE_OPENAI_API_KEY=your-openai-api-key
VITE_OPENAI_BASE_URL=https://api.openai.com/v1

Start the development server:
```
npm run dev
```

Project Structure

src/
├── components/
│   ├── Avatar.jsx
│   ├── Chat.jsx
│   ├── ChatBox.jsx
│   ├── Header.jsx
│   └── Message.jsx
├── utils/
│   ├── chain.js
│   ├── combineDocuments.js
│   ├── formatConvHistory.js
│   └── retriever.js
├── App.jsx
├── main.jsx
├── index.css
└── custom.css

Usage

Open your browser: Navigate to http://localhost:5173.
Interact with the chatbot: Type your queries in the chatbox and receive responses based on the context of your documents.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.