In this post, you will take a closer look at embedding documents to be used for a semantic search. By means of examples, you will learn how embedding influences the search result and how you can improve the results. Enjoy!
Introduction
In a previous post, a chat with documents using LangChain4j and LocalAI was discussed. One of the conclusions was that the document format has a large influence on the results. In this post, you will take a closer look at the influence of source data and the way it is embedded in order to get a better search result.