Implement RAG Using Weaviate, LangChain4j, and LocalAI
In this blog, you will learn how to implement Retrieval Augmented Generation (RAG) using Weaviate, LangChain4j, and LocalAI. This implementation allows you to ask questions about your documents using natural language. Enjoy!
1. Introduction
In the previous post, Weaviate was used as a vector database in order to perform a semantic search. The source documents used are two Wikipedia documents. The discography and list of songs recorded by Bruce Springsteen are the documents used. The interesting part of these documents is…