Lars f51e1cb2c4 Fix regex pattern in parse_edges_robust to support multiple leading '>' characters for edge callouts, enhancing flexibility in edge parsing.		2026-01-11 12:03:36 +01:00
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core	Fix regex pattern in parse_edges_robust to support multiple leading '>' characters for edge callouts, enhancing flexibility in edge parsing.	2026-01-11 12:03:36 +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