Retrieval-Augmented Generation (RAG) is a framework that enhances the capabilities of generative language models by incorporating relevant information retrieved from a large corpus of documents. This combination helps improve the accuracy and relevance of the generated responses. In this article we will learn how to use RAG with Langchain4j.
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Getting started with langchain4j and Llama Model
This article is a step-by-step guide to introduce you to Large Language Models (LLMs) in Java applications using LangChain4j. We will learn how to install Llama 3 ML on a local machine and how to connect and use it from a Java application.