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RAGBot Starter — An Astra DB and OpenAI chatbot

Starter project for creating a chatbot using Astra DB and OpenAI.

Framework
Use Case
Database
RAGBot Starter screenshot

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 Vercel with just a few clicks.
  • Customizable: Modify and extend the chatbot to suit your needs.

Getting Started

Prerequisites

Setup

  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:
    • ASTRA_DB_NAMESPACE: The existing Astra Namespace/Keyspace in a vector-enabled DB
    • OPENAI_API_KEY: Your API key for OpenAI
    • ASTRA_DB_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:...)
  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.

Deployment

You can easily deploy your chatbot to Vercel by clicking the button below:

Remember to set your environment variables to the values obtained when setting up your Astra DB and OpenAI accounts.

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

RAGBot Starter screenshot
Avatar of datastaxdatastax/ragbot-starter

RAGBot Starter — An Astra DB and OpenAI chatbot

Starter project for creating a chatbot using Astra DB and OpenAI.

Framework
Use Case
Database

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 Vercel with just a few clicks.
  • Customizable: Modify and extend the chatbot to suit your needs.

Getting Started

Prerequisites

Setup

  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:
    • ASTRA_DB_NAMESPACE: The existing Astra Namespace/Keyspace in a vector-enabled DB
    • OPENAI_API_KEY: Your API key for OpenAI
    • ASTRA_DB_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:...)
  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.

Deployment

You can easily deploy your chatbot to Vercel by clicking the button below:

Remember to set your environment variables to the values obtained when setting up your Astra DB and OpenAI accounts.

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

Unleash New Possibilities

Deploy your app on Vercel and unlock its full potential