IRCP Service

Python-based service providing **Inverse Ring Contextual Propagation (IRCP)** embeddings for topological search in TrajectoryOS. Enables 5D coordinate-based retrieval beyond traditional semantic search. IRCP Service generates topological embeddings for life events, enabling multi-dimensional search that combines: - **Semantic similarity** (what events mean) - **Topological distance** (where events sit in 5D space) - **Physics-based filtering** (life regime awareness) **5D Coordinate Space**: - **x**: Depth (exploration vs exploitation) - **y**: Alternatives (breadth of options considered) - **z**: Coherence (alignment of actions) - **t**: Time (temporal position) - **n**: Complexity (system noise/uncertainty) ### Prerequisites - Python 3.11+ - pip or poetry - (Optional) GPU for faster embeddings Traditional embeddings (like Word2Vec, BERT) capture semantic meaning but ignore **structural position** in a life trajectory. IRCP adds topological awareness.