Deploying Ollama DeepSeek and RAGFlow locally allows you to run powerful natural language processing (NLP) models in your own environment, enabling more efficient data processing and knowledge retrieval. Let’s get started. 1. Environment Preparation First, ensure your local machine meets the following requirements: Operating System: Linux or macOS (Windows is also supported via WSL) Python Version: 3.8 or higher GPU Support (optional): CUDA and cuDNN (for accelerating deep learning models) 2.
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