diff --git a/use-case-examples/README.md b/use-case-examples/README.md
index e59c57a10..bd167492b 100644
--- a/use-case-examples/README.md
+++ b/use-case-examples/README.md
@@ -6,7 +6,7 @@ This directory contains end-to-end examples demonstrating practical applications
 
 ## 📋 Overview
 
-These examples showcase **complete implementations** of agentic workflows, RAG systems, and other advanced use cases. Unlike the [usage-cookbook](../usage-cookbook/) which focuses on deployment and basic model usage, these examples demonstrate how to build production-ready applications.
+These examples showcase **complete implementations** of agentic workflows, RAG systems, and other advanced use cases. Unlike the {doc}`usage-cookbook </usage-cookbook/README>` which focuses on deployment and basic model usage, these examples demonstrate how to build production-ready applications.
 
 ---
 
@@ -14,5 +14,5 @@ These examples showcase **complete implementations** of agentic workflows, RAG s
 
 | Example | Description |
 |---------|-------------|
-| [RAG Agent with Nemotron RAG Models](./RAG%20Agent%20with%20Nemotron%20RAG%20Models/) | End-to-end example of a Retrieval-Augmented Generation (RAG) agent workflow using Nemotron RAG models through Hugging Face and Nemotron 9B hosted through build.nvidia.com models |
-| [Data Science ML Agent](./Data%20Science%20ML%20Agent/) | End-to-end example of a natural language-driven data science and machine learning agent powered by NVIDIA GPUs. The agent allows users to perform data exploration, model training, and hyperparameter optimization interactively using RAPIDS cuDF and cuML for GPU acceleration.|
+| {doc}`RAG Agent with Nemotron RAG Models </use-case-examples/RAG Agent with Nemotron RAG Models/README>` | End-to-end example of a Retrieval-Augmented Generation (RAG) agent workflow using Nemotron RAG models through Hugging Face and Nemotron 9B hosted through build.nvidia.com models |
+| {doc}`Data Science ML Agent </use-case-examples/Data Science ML Agent/README>` | End-to-end example of a natural language-driven data science and machine learning agent powered by NVIDIA GPUs. The agent allows users to perform data exploration, model training, and hyperparameter optimization interactively using RAPIDS cuDF and cuML for GPU acceleration.|