diff --git a/demos/continuous_batching/rag/README.md b/demos/continuous_batching/rag/README.md
index 6d05159b1f..53df59db6a 100644
--- a/demos/continuous_batching/rag/README.md
+++ b/demos/continuous_batching/rag/README.md
@@ -2,7 +2,7 @@
 
 ## Creating models repository for all the endpoints with ovms --pull or python export_model.py script
 
-### 1. Download the preconfigured models using ovms --pull option from [HugginFaces Hub OpenVINO organization](https://huggingface.co/OpenVINO)
+### 1. Download the preconfigured models using ovms --pull option from [HugginFaces Hub OpenVINO organization](https://huggingface.co/OpenVINO) (Simple usage)
 ::::{tab-set}
 
 :::{tab-item} With Docker
@@ -26,9 +26,9 @@ docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/mo
 ```bat
 mkdir models
 
-ovms.exe --pull --model_repository_path models --source_model OpenVINO/Qwen3-8B-int4-ov --task text_generation
-ovms.exe --pull --model_repository_path models --source_model OpenVINO/bge-base-en-v1.5-fp16-ov --task embeddings
-ovms.exe --pull --model_repository_path models --source_model OpenVINO/bge-reranker-base-fp16-ov --task rerank
+ovms --pull --model_repository_path models --source_model OpenVINO/Qwen3-8B-int4-ov --task text_generation
+ovms --pull --model_repository_path models --source_model OpenVINO/bge-base-en-v1.5-fp16-ov --task embeddings
+ovms --pull --model_repository_path models --source_model OpenVINO/bge-reranker-base-fp16-ov --task rerank
 
 ovms --add_to_config models --model_name OpenVINO/Qwen3-8B-int4-ov --model_path OpenVINO/Qwen3-8B-int4-ov
 ovms --add_to_config models --model_name OpenVINO/bge-base-en-v1.5-fp16-ov --model_path OpenVINO/bge-base-en-v1.5-fp16-ov
@@ -37,7 +37,7 @@ ovms --add_to_config models --model_name OpenVINO/bge-reranker-base-fp16-ov --mo
 :::
 ::::
 
-### 2. Download the preconfigured models using ovms --pull option for models outside [HugginFaces Hub OpenVINO organization](https://huggingface.co/OpenVINO) in HuggingFace Hub.
+### 2. Download the preconfigured models using ovms --pull option for models outside [HugginFaces Hub OpenVINO organization](https://huggingface.co/OpenVINO) in HuggingFace Hub. (Advanced usage)
 ::::{tab-set}
 
 :::{tab-item} With Docker
@@ -47,9 +47,9 @@ git clone https://github.com/openvinotoolkit/model_server.git
 cd model_server
 make python_image
 mkdir models
-docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --pull --model_repository_path /models --source_model meta-llama/Meta-Llama-3-8B-Instruct
-docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --pull --model_repository_path /models --source_model OpenVINO/bge-base-en-v1.5-fp16-ov --task embeddings
-docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --pull --model_repository_path /models --source_model BAAI/bge-reranker-large --task rerank
+docker run --user $(id -u):$(id -g) -e HF_HOME=/hf_home/cache --rm -v $(pwd)/models:/models:rw -v /opt/home/user/.cache/huggingface/:/hf_home/cache openvino/model_server:py --pull --model_repository_path /models --source_model meta-llama/Meta-Llama-3-8B-Instruct --task text_generation
+docker run --user $(id -u):$(id -g) -e HF_HOME=/hf_home/cache --rm -v $(pwd)/models:/models:rw -v /opt/home/user/.cache/huggingface/:/hf_home/cache openvino/model_server:py --pull --model_repository_path /models --source_model Alibaba-NLP/gte-large-en-v1.5 --task embeddings
+docker run --user $(id -u):$(id -g) -e HF_HOME=/hf_home/cache --rm -v $(pwd)/models:/models:rw -v /opt/home/user/.cache/huggingface/:/hf_home/cache openvino/model_server:py --pull --model_repository_path /models --source_model BAAI/bge-reranker-large --task rerank
 
 docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --add_to_config /models --model_name meta-llama/Meta-Llama-3-8B-Instruct --model_path meta-llama/Meta-Llama-3-8B-Instruct
 docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/model_server:py --add_to_config /models --model_name Alibaba-NLP/gte-large-en-v1.5 --model_path Alibaba-NLP/gte-large-en-v1.5
@@ -62,9 +62,10 @@ docker run --user $(id -u):$(id -g) --rm -v $(pwd)/models:/models:rw openvino/mo
 
 ```bat
 pip3 install -r https://raw.githubusercontent.com/openvinotoolkit/model_server/refs/heads/releases/2025/3/demos/common/export_models/requirements.txt
-pip3 install -q -r requirements.txt
+pip3 install -q -r https://raw.githubusercontent.com/openvinotoolkit/model_server/refs/heads/releases/2025/3/demos/continuous_batching/rag/requirements.txt
 mkdir models
-ovms --pull --model_repository_path models --source_model meta-llama/Meta-Llama-3-8B-Instruct
+set HF_HOME=C:\hf_home\cache # export HF_HOME=/hf_home/cache if using linux
+ovms --pull --model_repository_path models --source_model meta-llama/Meta-Llama-3-8B-Instruct --task text_generation
 ovms --pull --model_repository_path models --source_model Alibaba-NLP/gte-large-en-v1.5 --task embeddings
 ovms --pull --model_repository_path models --source_model BAAI/bge-reranker-large --task rerank
 
@@ -107,4 +108,4 @@ ovms --rest_port 8000 --config_path models\config.json
 
 ## Using RAG
 
-When the model server is deployed and serving all 3 endpoints, run the [jupyter notebook](https://github.com/openvinotoolkit/model_server/blob/main/demos/continuous_batching/rag/rag_demo.ipynb) to use RAG chain with a fully remote execution.
\ No newline at end of file
+When the model server is deployed and serving all 3 endpoints, run the [jupyter notebook](https://github.com/openvinotoolkit/model_server/blob/main/demos/continuous_batching/rag/rag_demo.ipynb) to use RAG chain with a fully remote execution.