Elasticsearch to OpenAI Integration

This Node.js application integrates Elasticsearch and OpenAI, allowing users to query an Elasticsearch index, retrieve results, and generate responses from OpenAI's GPT-3.5-turbo model. The OpenAI responses are streamed token-by-token for a real-time experience.

Features

• Fetches relevant data from Elasticsearch based on user queries.
• Generates contextual prompts from the retrieved Elasticsearch data.
• Streams responses from OpenAI's GPT-3.5-turbo model, token-by-token.
• Continuously prompts for new user questions after each OpenAI response.

Prerequisites

• Node.js: Ensure you have Node.js installed. You can download it here.
• Elasticsearch: You need access to an Elasticsearch instance.
• OpenAI API Key: You need an API key from OpenAI.

Setup

1. Clone the repository:

   git clone https://github.com/xyperia/node-elastic-playground.git
   cd node-elastic-playground

2. Install dependencies:

   npm install

3. Create a .env file in the root of your project and add the following environment variables:

   ES_ENDPOINT=your_elasticsearch_endpoint
   ES_API_KEY=your_elasticsearch_api_key
   OPENAI_API_KEY=your_openai_api_key

4. Start the application:

   node app.js

Usage

• After starting the application, it will prompt you to input a question.
• The application will query Elasticsearch, retrieve relevant data, and then generate a response from OpenAI.
• The OpenAI response will be streamed in real-time, token-by-token, for a smooth conversational experience.
• After the response is complete, you can input another question.

Example

Please enter your question: What are the general rules?

Token-by-token response from OpenAI: The general rules are as follows: [content from Elasticsearch] ...

Dependencies

• Elasticsearch Node.js Client
• OpenAI Node.js Client
• dotenv

License

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