Semiconductor Component RAG Search

# Windows Setup Guide ## DLL Issues on Windows If you encounter DLL errors like: ``` OSError: [WinError 1114] A dynamic link library (DLL) initialization routine failed ``` This is a common Windows issue with PyTorch. Here are solutions: ### Solution 1: Install Visual C++ Redistributables Download and install: - **Visual C++ Redistributable for Visual Studio 2015-2022** - Both **x64** and **x86** versions Download from: https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist ### Solution 2: Use Conda Environment (Recommended) ```bash # Create conda environment conda create -n mcp2 python=3.11 conda activate mcp2 # Install PyTorch via conda conda install pytorch torchvision cpuonly -c pytorch # Install other dependencies pip install -r requirements.txt ``` ### Solution 3: Use WSL (Windows Subsystem for Linux) If DLL issues persist, consider using WSL for a Linux-like environment. ### Solution 4: Check Python Environment Conflicts Make sure you're not mixing conda and pip installations. Use one package manager consistently. ## After Fixing DLL Issues 1. Activate virtual environment: ```bash .\venv\Scripts\Activate.ps1 ``` 2. Verify imports: ```bash python -c "from rag_pipeline import RAGPipeline; print('OK')" ``` 3. Start server: ```bash python main.py ``` ## Alternative: Use Docker If DLL issues persist, consider using Docker: ```bash docker build -t mcp2-rag . docker run -p 8000:8000 mcp2-rag ```