IRCP Search Engine - Complete Implementation

I've successfully created a comprehensive, robust command-line semantic and topological search engine that works with both your original trained data and Claude conversation data. ### **1. Full-Featured Search Engine** (`ircp_search_engine.py`) - **Multi-database support** - Works with multiple database formats - **Semantic search** using IRCP embeddings - **Topological search** using DLM coordinates - **Hybrid search** combining both approaches - **Robust error handling** and database validation - **Content fetching** from original data sources - **Interactive mode** for exploratory search ### **2. Simple Demo Interface** (`ircp_search_demo.py`) - **Easy-to-use demonstration** of search capabilities - **Interactive mode** with simple commands - **Content integration** with original JSON data - **Demo searches** showing different search types **Features:** - Uses trained IRCP model embeddings - Cosine similarity matching - Configurable similarity thresholds - Cross-database search capability **Features:** - 3D coordinate-based search (x, y, z) - Euclidean distance calculation - Configurable distance thresholds - Reveals conversation structure patterns