Retrieval Augmented Generation Chatbot API with Embedchain

This project integrates the embedchain library to facilitate the creation of a Flask-based chatbot that leverages the OpenAI API to provide responses based on a predefined set of data.

Features

• Chatbot integration using embedchain and Flask.
• OpenAI API for LLMs/Generating responses.
• Provide data in JSON file

Installation

• Clone this repository
• Ensure you have Python 3.6 or higher installed
• Install the required Python packages:

  pip install Flask embedchain python-dotenv
  

Configuration

• Create a .env file in the root directory of the project.
• Add your OpenAI API key to the .env file as follows:

  OPENAI_API_KEY=your_api_key_here

Run Project

  python app.py

Usage

After starting the server, you can interact with the chatbot by sending POST requests to /chat with a JSON payload containing the query.

Example request:

{
  "query": "Berapa biaya kuliah informatika?"
}

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