diff --git a/README.md b/README.md
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--- a/README.md
+++ b/README.md
@@ -2,240 +2,108 @@
# Generative AI Examples
-This project provides a collective list of Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) examples such as chatbot with question and answering (ChatQnA), code generation (CodeGen), document summary (DocSum), etc.
-
-[](https://github.com/opea-project/GenAIExamples/releases)
+[](https://github.com/opea-project/GenAIExamples/releases)
[](https://github.com/intel/neural-compressor/blob/master/LICENSE)
---
-## GenAI Examples
+## Introduction
-All the examples are well-validated on Intel platforms. In addition, these examples are:
+GenAIComps-based Generative AI examples offer streamlined deployment, testing, and scalability. All examples are fully compatible with Docker and Kubernetes, supporting a wide range of hardware platforms such as Gaudi, Xeon, and other hardwares.
--
Easy to use. Use ecosystem-compliant APIs to build the end-to-end GenAI examples
+## Architecture
--
Easy to customize. Customize the example using different framework, LLM, embedding, serving etc.
+GenAIComps is a service-based tool that includes microservice components such as llm, embedding, reranking, and so on. Using these components, various examples in GenAIExample can be constructed, including ChatQnA, DocSum, etc.
--
Easy to deploy. Deploy the GenAI examples with performance on Intel platforms
+GenAIInfra, part of the OPEA containerization and cloud-native suite, enables quick and efficient deployment of GenAIExamples in the cloud.
-> **Note**:
-> The below support matrix gives the validated configurations. Feel free to customize per your needs.
+GenAIEvals measures service performance metrics such as throughput, latency, and accuracy for GenAIExamples. This feature helps users compare performance across various hardware configurations easily.
-### ChatQnA
+## Getting Started
-[ChatQnA](./ChatQnA/README.md) is an example of chatbot for question and answering through retrieval argumented generation (RAG).
+GenAIExamples offers flexible deployment options that cater to different user needs, enabling efficient use and deployment in various environments. Here’s a brief overview of the three primary methods: Python startup, Docker Compose, and Kubernetes.
+
+1.
Docker Compose: Check the released docker images in [docker image list](./docker_images_list.md) for detailed information.
+2.
Kubernetes: Follow the steps at [K8s Install](https://github.com/opea-project/docs/tree/main/guide/installation/k8s_install) and [GMC Install](https://github.com/opea-project/docs/blob/main/guide/installation/gmc_install/gmc_install.md) to setup k8s and GenAI environment .
+
+Users can choose the most suitable approach based on ease of setup, scalability needs, and the environment in which they are operating.
+
+### Deployment
-### CodeGen
+## Support Examples
-[CodeGen](./CodeGen/README.md) is an example of copilot designed for code generation in Visual Studio Code.
-
-
-
-### CodeTrans
-
-[CodeTrans](./CodeTrans/README.md) is an example of chatbot for converting code written in one programming language to another programming language while maintaining the same functionality.
-
-
-
-### DocSum
-
-[DocSum](./DocSum/README.md) is an example of chatbot for summarizing the content of documents or reports.
-
-
-
-### Language Translation
-
-[Language Translation](./Translation/README.md) is an example of chatbot for converting a source-language text to an equivalent target-language text.
-
-
-
-### SearchQnA
-
-[SearchQnA](./SearchQnA/README.md) is an example of chatbot for using search engine to enhance QA quality.
-
-
-
-### VisualQnA
-
-[VisualQnA](./VisualQnA/README.md) is an example of chatbot for question and answering based on the images.
-
-
-
-
- | LLM |
- HW |
- Description |
-
-
- | LLaVA-1.5-7B |
- Gaudi2 |
- Chatbot |
-
-
-
-
-> **_NOTE:_** The `Language Translation`, `SearchQnA`, `VisualQnA` and other use cases not listing here are in active development. The code structure of these use cases are subject to change.
+Check [here](./supported_examples.md) for detailed information of supported examples, models, hardwares, etc.
## Additional Content
diff --git a/supported_examples.md b/supported_examples.md
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+
+
+# Supported Examples
+
+
+
+This document introduces the supported examples of GenAIExamples. The supported Vector Database, LLM models, serving frameworks and hardwares are listed as below.
+
+## ChatQnA
+
+[ChatQnA](./ChatQnA/README.md) is an example of chatbot for question and answering through retrieval argumented generation (RAG).
+
+
+
+### CodeGen
+
+[CodeGen](./CodeGen/README.md) is an example of copilot designed for code generation in Visual Studio Code.
+
+
+
+### CodeTrans
+
+[CodeTrans](./CodeTrans/README.md) is an example of chatbot for converting code written in one programming language to another programming language while maintaining the same functionality.
+
+
+
+### DocSum
+
+[DocSum](./DocSum/README.md) is an example of chatbot for summarizing the content of documents or reports.
+
+
+
+### Language Translation
+
+[Language Translation](./Translation/README.md) is an example of chatbot for converting a source-language text to an equivalent target-language text.
+
+
+
+### SearchQnA
+
+[SearchQnA](./SearchQnA/README.md) is an example of chatbot for using search engine to enhance QA quality.
+
+
+
+### VisualQnA
+
+[VisualQnA](./VisualQnA/README.md) is an example of chatbot for question and answering based on the images.
+
+
+
+
+ | LLM |
+ HW |
+ Description |
+
+
+ | LLaVA-1.5-7B |
+ Gaudi2 |
+ Chatbot |
+
+
+
+
+> **_NOTE:_** The `Language Translation`, `SearchQnA`, `VisualQnA` and other use cases not listing here are in active development. The code structure of these use cases are subject to change.