M.I.M.I.R - Multi-agent Intelligent Memory & Insight Repository

# Advanced Topics **Deep dive into advanced features and internals.** ## 📚 Documentation ### K-Means Clustering - **[K-Means Algorithm](clustering/kmeans-algorithm.md)** - K-Means clustering basics - **[Real-Time K-Means](clustering/realtime-kmeans.md)** - Live cluster updates - **[GPU Implementation](clustering/gpu-implementation.md)** - GPU-accelerated K-Means - **[Metal Optimizations](clustering/metal-optimizations.md)** - Apple Silicon optimizations ### Embeddings - **[Local GGUF Models](embeddings/local-gguf.md)** - Local embedding models - **[Ollama Integration](embeddings/ollama-integration.md)** - Ollama setup - **[OpenAI Integration](embeddings/openai-integration.md)** - OpenAI API ### Advanced Features - **[Search Evaluation](search-evaluation.md)** - Eval harness - **[Custom Functions](custom-functions.md)** - UDF development - **[Extending NornicDB](extending-nornicdb.md)** - Plugin development ## 🎯 Topics ### K-Means Clustering Learn how to use K-Means clustering on embeddings for improved search and organization. [Explore K-Means clustering →](clustering/) ### Embeddings Generate and manage vector embeddings locally or via API. [Explore embeddings →](embeddings/) ### Extensibility Extend NornicDB with custom functions and plugins. [Learn about plugins →](../architecture/plugin-system.md) --- **Start exploring** → **[K-Means Clustering](clustering/)**