docs: add nextra docs

docs/pages/tutorials/_meta.json

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+{
+  "run-deepseek-r1-locally-mac-mini-pycharm": "Run Deepseek R1 locally on a Mac Mini in PyCharm",
+  "deploy-deepseek-r1-on-runpod-and-use-it-in-pycharm": "Deploy Deepseek R1 on a RunPod and use it in PyCharm"
+}

docs/pages/tutorials/deploy-deepseek-r1-on-runpod-and-use-it-in-pycharm.mdx

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+# Deploy Deepseek R1 on a RunPod and use it in PyCharm
+
+*By Laurent Meyer*
+
+---
+
+Deploy DeepSeek-R1 on Runpod Serverless with Docker & vLLM—run your own private local LLM that processes RAG data, auto-scales, and shuts down when idle.
+
+[Read the full article →](https://meyer-laurent.com/deploying-deepseek-r1-on-runpod-serverless-and-use-it-in-pycharm)

docs/pages/tutorials/run-deepseek-r1-locally-mac-mini-pycharm.mdx

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+# Run Deepseek R1 locally on a Mac Mini in PyCharm
+
+*By Laurent Meyer*
+
+---
+
+Discover how to enhance your development workflow and protect proprietary code by setting up DeepSeek R1 locally on a Mac. This guide covers installing ProxyAI, configuring Ollama, and using a local Large Language Model for secure, AI-assisted coding without relying on public LLMs.
+
+[Read the full article →](https://meyer-laurent.com/run-deepseek-r1-locally-mac-mini-pycharm)