doc: add v0.3.0 release note (#312)

CONTRIBUTING.md

@@ -11,8 +11,11 @@ By participating, you agree to abide by our [Code of Conduct](CODE_OF_CONDUCT.md
 
 ## Development Setup
 
+> [!TIP]
+> **Linux** is the recommended environment for development and performance benchmarking.
+
 ### Prerequisites
-- Python 3.10 - 3.12
+- Python 3.10 - 3.14
 - CMake ≥ 3.26, < 4.0 (`cmake --version`)
 - A C++17-compatible compiler (e.g., `g++-11+`, `clang++`, Apple Clang on macOS)
 

README.md

@@ -30,6 +30,14 @@
 
 **Zvec** is an open-source, in-process vector database — lightweight, lightning-fast, and designed to embed directly into applications. Built on **Proxima** (Alibaba's battle-tested vector search engine), it delivers production-grade, low-latency, scalable similarity search with minimal setup.
 
+> [!IMPORTANT]
+> **🚀 v0.3.0 Released on April 3, 2026**
+> - **New Platforms**: Initial **Windows (MSVC)** and **Android** support. Published official Windows **Python** and **Node.js** packages.
+> - **Efficiency**: **RabitQ** quantization and **CPU Auto-Dispatch** for optimized SIMD execution.
+> - **Ecosystem**: **C-API** for custom language bindings and **[MCP](https://github.com/zvec-ai/zvec-mcp-server) / [Skill](https://github.com/zvec-ai/zvec-agent-skills)** integration for AI Agents.
+> 
+> 👉 [Read the Release Notes](https://github.com/alibaba/zvec/releases/tag/v0.3.0) | [View Roadmap 📍](https://github.com/alibaba/zvec/issues/309)
+
 ## 💫 Features
 
 - **Blazing Fast**: Searches billions of vectors in milliseconds.
@@ -58,6 +66,7 @@ npm install @zvec/zvec
 
 - Linux (x86_64, ARM64)
 - macOS (ARM64)
+- Windows (x86_64)
 
 ### 🛠️ Building from Source