From a84524ada8612e5e93f27facfa93c5dc2b820f32 Mon Sep 17 00:00:00 2001
From: hshen14 <haihao.shen@intel.com>
Date: Thu, 21 Mar 2024 13:49:20 +0800
Subject: [PATCH] Update ChatQnA

---
 README.md | 56 +++++++++++++++++++++++++++++++++++++++++++++++--------
 1 file changed, 48 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index aa5c52ca2..f9954ea6a 100644
--- a/README.md
+++ b/README.md
@@ -1,15 +1,55 @@
-# GenerativeAIExamples
-Generative AI (GenAI) Examples is a collection of GenAI examples such as ChatQnA, Copilot, which heavily reused ecosystem-based components plus Intel optimizations.
+# Intel Generative AI Examples
 
-# ChatQnA
-[ChatQnA](./ChatQnA/README.md) is a chatbot for question and answering through retrieval argumented generation (RAG). The example is developed with Langchain API and Redis as vector store, and deployed on Gaudi with Xeon through Hugging Face text generation inference (TGI) serving.
+## Introduction
 
-# CodeGen
+This project provides a collective list of Generative AI (GenAI) examples such as chatbot with question and answering (ChatQnA), code generation, document summary, etc. The examples are developed by leveraging the ecosystem components with Intel optimizations, therefore delivering the high perforamnce on Intel platforms. 
+
+## GenAI Examples
+
+### ChatQnA
+
+[ChatQnA](./ChatQnA/README.md) is an example of chatbot with question and answering through retrieval argumented generation (RAG).
+
+
+<table>
+	<tbody>
+		<tr>
+			<td colspan="2">Framework</td>
+			<td colspan="2">LLM</td>
+			<td colspan="2">Embedding</td>
+			<td colspan="2">Vector Database</td>
+			<td colspan="2">Serving</td>
+			<td colspan="2">HW</td>
+			<td colspan="2">Description</td>
+		</tr>
+		<tr>
+			<td>[angChain](https://www.langchain.com/)</td>
+			<td>[NeuralChat-v3](https://huggingface.co/Intel/neural-chat-7b-v3-1)</td>
+			<td>[BGE-Base](https://huggingface.co/BAAI/bge-base-en)</td>
+			<td>[Redis](https://redis.io/)</td>
+			<td>[TGI-Habana](https://github.com/huggingface/tgi-gaudi)</td>
+			<td>Gaudi2</td>
+			<td>Chatbot</td>
+		</tr>
+		<tr>
+			<td>[angChain](https://www.langchain.com/)</td>
+			<td>[NeuralChat-v3](https://huggingface.co/Intel/neural-chat-7b-v3-1)</td>
+			<td>[BGE-Base](https://huggingface.co/BAAI/bge-base-en)</td>
+			<td>[Chroma](https://www.trychroma.com/)</td>
+			<td>[TGI-Habana](https://github.com/huggingface/tgi-gaudi)</td>
+			<td>Gaudi2</td>
+			<td>Chatbot</td>
+		</tr>
+	</tbody>
+</table>
+
+
+### CodeGen
 [CodeGen](./CodeGen/README.md) is a copilot application designed for code generation use case. We offer a VS Code plugin for easy usage. In this example, we demonstrate how code generation can be efficiently executed on the Intel Gaudi2 platform.
 
 
-# DocSum
+### DocSum
 [DocSum](./DocSum/README.md) is a chatbot for summarizing the content of your documents or reports. The example is developed with Langchain API and deployed on Gaudi through Hugging Face text generation inference (TGI) serving.
 
-# VisualQnA
-[VisualQnA](./VisualQnA/README.md) is a chatbot for visual question and answering task. This example guides you through how to deploy a [LLaVA](https://llava-vl.github.io/) (Large Language and Vision Assistant) model on Intel Gaudi2.
\ No newline at end of file
+### VisualQnA
+[VisualQnA](./VisualQnA/README.md) is a chatbot for visual question and answering task. This example guides you through how to deploy a [LLaVA](https://llava-vl.github.io/) (Large Language and Vision Assistant) model on Intel Gaudi2.