Utilize Retrieval-Augmented Generation (RAG) with Node.js to optimize your AI applications

In this learning exercise we will use Retrieval Augmented Generation (RAG) with a Node.js application in order to optimize an AI application. We will leverage the Node.js Reference Architecture in order to improve how the AI application answers a question on how to start a Node.js application. We will use Langchain.js to simplify interacting with the model and will use node-llama-cpp to run the model in the same Node.js process as your application.

Red Hat Build of Node.js  OpenShift.AI