mindnet/app
Lars 43641441ef Refactor hash input and body/frontmatter handling in ingestion_processor.py for improved accuracy
Update the ingestion process to utilize the parsed object instead of note_pl for hash input, body, and frontmatter extraction. This change ensures that the correct content is used for comparisons, enhancing the reliability of change detection diagnostics and improving overall ingestion accuracy.
2026-01-12 08:19:43 +01:00
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core Refactor hash input and body/frontmatter handling in ingestion_processor.py for improved accuracy 2026-01-12 08:19:43 +01:00
frontend bug fix 2025-12-29 11:00:00 +01:00
models Update EdgeDTO to support extended provenance values and modify explanation building in retriever.py to accommodate new provenance types. This enhances the handling of edge data for improved accuracy in retrieval processes. 2026-01-11 17:54:33 +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