Build a RAG System with Claude & ChatGPT APIs

What We’re Building

In this tutorial, we will build a Retrieval-Augmented Generation (RAG) system that combines the capabilities of Claude and ChatGPT APIs. This system will efficiently fetch relevant data from a document repository and generate contextually rich responses using advanced language models.

The final application will allow users to input queries, retrieve pertinent information from a pre-indexed document set, and use AI models to generate comprehensive answers. This integrated approach offers robust performance in applications requiring high accuracy and relevance, such as customer support systems and research assistants.

Setup and Installation

We will begin by setting up our development environment and installing necessary libraries. This involves setting up Node.js and installing the required SDKs for accessing the APIs.

npm install openai anthropic dotenv

Next, we’ll configure our environment variables to securely store our API keys. Create a .env file in your project root and add the following variables:

OPENAI_API_KEY=your_openai_api_key
ANTHROPIC_API_KEY=your_anthropic_api_key