From 4e6b09843ff12b646f2dfa43a4e37228d10cdb70 Mon Sep 17 00:00:00 2001 From: sugarforever Date: Mon, 20 Nov 2023 23:07:49 +0000 Subject: [PATCH] Update README.md --- README.md | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index dbeb8d5..59cb39a 100644 --- a/README.md +++ b/README.md @@ -1 +1,17 @@ -# Advanced-RAG \ No newline at end of file +# Advanced RAG + +**What is RAG?** + +Retrieval augmented generation (RAG) is a natural language processing (NLP) technique that employes the capabilities of retrieval and generative based AI models. + +**What is Naive RAG?** + +Naive RAG often refers to splitting documents into chunks, embedding them, and retrieving chunks based on semantic similarity search to a user question. + +It's simple, but of poor overall performance. + +**That's why we need Advanced RAG.** + +In this tutorials (Advanced RAG), we will learn the techniques and best practices in RAG application development, that can improve the quality of the RAG. + +It's crucial to the success of a RAG application.