mindnet/app/core
Lars 9b0d8c18cb Implement LLM validation for candidate edges in ingestion_processor.py
Enhance the edge validation process by introducing logic to validate edges with rule IDs starting with "candidate:". This includes extracting target IDs, validating against the entire note text, and updating rule IDs upon successful validation. Rejected edges are logged for traceability, improving the overall handling of edge data during ingestion.
2026-01-11 21:27:07 +01:00
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chunking Enhance compatibility in chunking and edge processing for version 4.4.1: Harmonize handling of "to" and "target_id" across chunking_processor.py, graph_derive_edges.py, and ingestion_processor.py. Ensure consistent validation and processing of explicit callouts, improving integration and reliability in edge candidate handling. 2026-01-11 15:39:03 +01:00
database Update qdrant_points.py, ingestion_processor.py, and import_markdown.py to version 4.1.0: Enhance edge ID generation by incorporating target_section for improved multigraph support and symmetry integrity. Update documentation and logging for clarity, ensuring consistent ID generation across phases and compatibility with the ingestion workflow. 2026-01-10 17:03:44 +01:00
graph Refine LLM validation zone handling in graph_derive_edges.py 2026-01-11 21:09:07 +01:00
ingestion Implement LLM validation for candidate edges in ingestion_processor.py 2026-01-11 21:27:07 +01:00
parser Parametrisierung der wesentliche Einstellwerte in der types.yaml 2025-12-27 18:45:15 +01:00
retrieval Enhance decision_engine.py to support context reuse during compression failures. Implement error handling to return original content when compression fails, ensuring robust fallback mechanisms without re-retrieval. Update logging for better traceability of compression and fallback processes, improving overall reliability in stream handling. 2026-01-11 19:14:15 +01:00
logging_setup.py Enhance logging capabilities across multiple modules for version 4.5.0: Introduce detailed debug statements in decision_engine.py, retriever_scoring.py, retriever.py, and logging_setup.py to improve traceability during retrieval processes. Implement dynamic log level configuration based on environment variables, allowing for more flexible debugging and monitoring of application behavior. 2026-01-11 17:30:34 +01:00
registry.py bug fix 2025-12-27 19:12:14 +01:00
type_registry.py 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