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?"
}

Support Me ☕

If you find MyGithubUser helpful or just want to support my work, you can buy me a coffee! ☕

fitriadyaa / RAG-api-embedchain