RAGBot Starter — An Astra DB and OpenAI chatbot

RAGBot Starter

This project is a starter for creating a chatbot using Astra DB and OpenAI. It's designed to be easy to deploy and use, with a focus on performance and usability.

Features

• Astra DB Integration: Store and retrieve data from your Astra DB database with ease.
• OpenAI Integration: Leverage the power of OpenAI to generate intelligent responses.
• Easy Deployment: Deploy your chatbot to Edgenivo with just a few clicks.
• Customizable: Modify and extend the chatbot to suit your needs.

Getting Started

Prerequisites

• An Astra DB account. You can create one here.
  • An Astra Vector Database
• An OpenAI account. You can create one here.

Deployment

Easily deploy your chatbot to Edgenivo by clicking the button below:

Configure the Astra DB integration and add your OPENAI_API_KEY environment variable.

Note: Before you deploying to prod, you will want to remove seed script (npm run seed) from the build step.

Local Development

1. Clone this repository to your local machine.
2. Install the dependencies by running npm install in your terminal.
3. Set up the following environment variables in your IDE or .env file:
   • OPENAI_API_KEY: Your API key for OpenAI
   • ASTRA_DB_API_ENDPOINT: Your Astra DB vector database endpoint
   • ASTRA_DB_APPLICATION_TOKEN: The generated app token for your Astra database
     • To create a new token go to your database's Connect tab and click Generate Token. (your Application Token begins with AstraCS:...)
   • ASTRA_DB_NAMESPACE: (Optional) The existing Astra Namespace/Keyspace in a vector-enabled DB
4. Populate your database with sample data by running npm run seed in your terminal.

Running the Project

To start the development server, run npm run dev in your terminal. Open http://localhost:3000 to view the chatbot in your browser.