mindnet/app
2026-01-11 08:08:30 +01:00
..
core Update ingestion_processor.py to version 4.2.4: Implement hash-based change detection for content integrity verification. Restore iterative matching based on content hashes, enhancing the accuracy of change detection. Update documentation to reflect changes in the processing logic and versioning. 2026-01-11 08:08:30 +01:00
frontend bug fix 2025-12-29 11:00:00 +01:00
models Update graph_db_adapter.py, graph_derive_edges.py, graph_subgraph.py, graph_utils.py, ingestion_processor.py, and retriever.py to version 4.1.0: Introduce Scope-Awareness and Section-Filtering features, enhancing edge retrieval and processing. Implement Note-Scope Zones extraction from Markdown, improve edge ID generation with target_section, and prioritize Note-Scope Links during de-duplication. Update documentation for clarity and consistency across modules. 2026-01-10 19:55:51 +01:00
routers Integrate symmetric edge logic and discovery API: Update ingestion processor and validation to support automatic inverse edge generation. Enhance edge registry for dual vocabulary and schema management. Introduce new discovery endpoint for proactive edge suggestions, improving graph topology and edge validation processes. 2026-01-09 13:57:10 +01:00
services Update type_registry, graph_utils, ingestion_note_payload, and discovery services for dynamic edge handling: Integrate EdgeRegistry for improved edge defaults and topology management (WP-24c). Enhance type loading and edge resolution logic to ensure backward compatibility while transitioning to a more robust architecture. Version bumps to 1.1.0 for type_registry, 1.1.0 for graph_utils, 2.5.0 for ingestion_note_payload, and 1.1.0 for discovery service. 2026-01-09 15:20:12 +01:00
__init__.py code header 2025-12-15 15:40:39 +01:00
config.py anpassung an variable Kontextgrenzen für Ollama 2025-12-26 11:15:13 +01:00
embeddings.py wiederhergstellt 2025-12-15 15:45:36 +01:00
main.py Update FastAPI application and related services for WP-25a: Enhance lifespan management with Mixture of Experts (MoE) integrity checks, improve logging and error handling in LLMService, and integrate profile-driven orchestration across components. Bump versions for main application, ingestion services, and LLM profiles to reflect new features and optimizations. 2026-01-02 08:57:29 +01:00