Update README.md (#11592)

README.md

@@ -11,18 +11,19 @@
 > - ***50+ models** have been optimized/verified on `ipex-llm` (including LLaMA2, Mistral, Mixtral, Gemma, LLaVA, Whisper, ChatGLM, Baichuan, Qwen, RWKV, and more); see the complete list [here](#verified-models).*
 
 ## Latest Update 🔥 
+- [2024/07] We added support for running Microsoft's **GraphRAG** using local LLM on Intel GPU; see the quickstart guide [here](docs/mddocs/Quickstart/graphrag_quickstart.md).
 - [2024/07] We added extensive support for Large Multimodal Models, including [StableDiffusion](https://github.com/jason-dai/ipex-llm/tree/main/python/llm/example/GPU/HuggingFace/Multimodal/StableDiffusion), [Phi-3-Vision](python/llm/example/GPU/HuggingFace/Multimodal/phi-3-vision), [Qwen-VL](python/llm/example/GPU/HuggingFace/Multimodal/qwen-vl), and [more](python/llm/example/GPU/HuggingFace/Multimodal).
 - [2024/07] We added **FP6** support on Intel [GPU](python/llm/example/GPU/HuggingFace/More-Data-Types). 
 - [2024/06] We added experimental **NPU** support for Intel Core Ultra processors; see the examples [here](python/llm/example/NPU/HF-Transformers-AutoModels). 
 - [2024/06] We added extensive support of **pipeline parallel** [inference](python/llm/example/GPU/Pipeline-Parallel-Inference), which makes it easy to run large-sized LLM using 2 or more Intel GPUs (such as Arc).
 - [2024/06] We added support for running **RAGFlow** with `ipex-llm` on Intel [GPU](docs/mddocs/Quickstart/ragflow_quickstart.md).
-- [2024/05] You can now easily run `ipex-llm` inference, serving and finetuning using the **Docker** [images](#docker).
-- [2024/05] You can now install `ipex-llm` on Windows using just "*[one command](docs/mddocs/Quickstart/install_windows_gpu.md#install-ipex-llm)*".
 - [2024/05] `ipex-llm` now supports **Axolotl** for LLM finetuning on Intel GPU; see the quickstart [here](docs/mddocs/Quickstart/axolotl_quickstart.md).
 
 <details><summary>More updates</summary>
 <br/>
 
+- [2024/05] You can now easily run `ipex-llm` inference, serving and finetuning using the **Docker** [images](#docker).
+- [2024/05] You can now install `ipex-llm` on Windows using just "*[one command](docs/mddocs/Quickstart/install_windows_gpu.md#install-ipex-llm)*".
 - [2024/04] You can now run **Open WebUI** on Intel GPU using `ipex-llm`; see the quickstart [here](docs/mddocs/Quickstart/open_webui_with_ollama_quickstart.md).
 - [2024/04] You can now run **Llama 3** on Intel GPU using `llama.cpp` and `ollama` with `ipex-llm`; see the quickstart [here](docs/mddocs/Quickstart/llama3_llamacpp_ollama_quickstart.md).
 - [2024/04] `ipex-llm` now supports **Llama 3** on both Intel [GPU](python/llm/example/GPU/HuggingFace/LLM/llama3) and [CPU](python/llm/example/CPU/HF-Transformers-AutoModels/Model/llama3).
@@ -185,12 +186,13 @@ Please see the **Perplexity** result below (tested on Wikitext dataset using the
 - [Benchmarking](docs/mddocs/Quickstart/benchmark_quickstart.md): running  (latency and throughput) **benchmarks** for `ipex-llm` on Intel CPU and GPU
 
 ### Applications
-- [Local RAG](docs/mddocs/Quickstart/chatchat_quickstart.md): running `LangChain-Chatchat` (*Knowledge Base QA using **RAG** pipeline*) with `ipex-llm`
+- [GraphRAG](docs/mddocs/Quickstart/graphrag_quickstart.md): running Microsoft's `GraphRAG` using local LLM with `ipex-llm`
+- [RAGFlow](docs/mddocs/Quickstart/ragflow_quickstart.md): running `RAGFlow` (*an open-source RAG engine*) with `ipex-llm`
+- [LangChain-Chatchat](docs/mddocs/Quickstart/chatchat_quickstart.md): running `LangChain-Chatchat` (*Knowledge Base QA using RAG pipeline*) with `ipex-llm`
 - [Coding copilot](docs/mddocs/Quickstart/continue_quickstart.md): running `Continue` (coding copilot in VSCode) with `ipex-llm`
 - [Open WebUI](docs/mddocs/Quickstart/open_webui_with_ollama_quickstart.md): running `Open WebUI` with `ipex-llm`
 - [PrivateGPT](docs/mddocs/Quickstart/privateGPT_quickstart.md): running `PrivateGPT` to interact with documents with `ipex-llm`
 - [Dify platform](docs/mddocs/Quickstart/dify_quickstart.md): running `ipex-llm` in `Dify`(*production-ready LLM app development platform*)
-- [RAGFlow](docs/mddocs/Quickstart/ragflow_quickstart.md): running `RAGFlow` (*an open-source RAG engine*) with `ipex-llm`
 
 ### Install 
 - [Windows GPU](docs/mddocs/Quickstart/install_windows_gpu.md): installing `ipex-llm` on Windows with Intel GPU