link DeepSeek demo notebook to tutorials (#3485)

Signed-off-by: Yaliang Wu <[email protected]>
opensearch-project · Feb 1, 2025 · d7dec0f · d7dec0f
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diff --git a/docs/tutorials/aws/RAG_with_DeepSeek_Chat_model.md b/docs/tutorials/aws/RAG_with_DeepSeek_Chat_model.md
@@ -4,6 +4,8 @@
 This tutorial shows you how to implement retrieval-augmented generation (RAG) using Amazon OpenSearch and the [DeepSeek chat model](https://api-docs.deepseek.com/api/create-chat-completion).
 If you are not using Amazon OpenSearch, you can use the DeepSeek connector chat blueprint directly. For more information, see [the blueprint](https://github.com/opensearch-project/ml-commons/blob/main/docs/remote_inference_blueprints/deepseek_connector_chat_blueprint.md).
 
+For a simpler alternative, you can explore our Python-based implementation in this [demo notebook](DeepSeek_demo_notebook_for_RAG.ipynb).
+
 Note: Replace the placeholders starting with the prefix `your_` with your own values.
 
 

diff --git a/docs/tutorials/aws/RAG_with_DeepSeek_R1_model_on_Bedrock.md b/docs/tutorials/aws/RAG_with_DeepSeek_R1_model_on_Bedrock.md
@@ -4,6 +4,8 @@
 This tutorial shows you how to implement retrieval-augmented generation (RAG) in Amazon OpenSearch with the [DeepSeek R1 model](https://huggingface.co/deepseek-ai/DeepSeek-R1).
 If you are not using Amazon OpenSearch, you can use the DeepSeek connector chat blueprint directly. For more information, see [the blueprint](https://github.com/opensearch-project/ml-commons/blob/main/docs/remote_inference_blueprints/deepseek_connector_chat_blueprint.md).
 
+For a simpler alternative, you can explore our Python-based implementation in this [demo notebook](DeepSeek_demo_notebook_for_RAG.ipynb).
+
 Note: Replace the placeholders starting with the prefix `your_` with your own values.
 
 

diff --git a/docs/tutorials/aws/RAG_with_DeepSeek_R1_model_on_Sagemaker.md b/docs/tutorials/aws/RAG_with_DeepSeek_R1_model_on_Sagemaker.md
@@ -4,6 +4,8 @@
 This tutorial shows you how to implement retrieval-augmented generation (RAG) in Amazon OpenSearch with the [DeepSeek R1 model](https://huggingface.co/deepseek-ai/DeepSeek-R1).
 If you are not using Amazon OpenSearch, you can use the DeepSeek connector chat blueprint directly. For more information, see [the blueprint](https://github.com/opensearch-project/ml-commons/blob/main/docs/remote_inference_blueprints/deepseek_connector_chat_blueprint.md).
 
+For a simpler alternative, you can explore our Python-based implementation in this [demo notebook](DeepSeek_demo_notebook_for_RAG.ipynb).
+
 Note: Replace the placeholders starting with the prefix `your_` with your own values.