c5215e22e7
Implement WP-26 v1.0 - Phase 2: Enhance edge scoring and aggregation configuration
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- Introduced configurable edge scoring with internal and external boosts for intra-note edges.
- Added aggregation configuration to support note-level and chunk-level retrieval strategies.
- Updated retriever and graph subgraph modules to utilize new scoring and aggregation logic.
- Enhanced YAML configuration to include new parameters for edge scoring and aggregation levels.
- Added boolean indexing for filtering based on edge properties in the setup script.
2026-01-25 21:06:13 +01:00
6d268d9dfb
Enhance .env loading mechanism and EdgeDTO creation with error handling
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Deploy mindnet to llm-node / deploy (push) Successful in 4s
- Updated the .env loading process to first check for an explicit path, improving reliability in different working directories.
- Added logging for successful .env loading and fallback mechanisms.
- Enhanced EdgeDTO creation with robust error handling, including fallbacks for unsupported provenance values and logging of errors for better traceability.
2026-01-12 15:27:23 +01:00
3dc81ade0f
Update logging in decision_engine.py and retriever.py to use node_id as chunk_id and total_score instead of score for improved accuracy in debug statements. This change aligns with the new data structure introduced in version 4.5.4, enhancing traceability in retrieval processes.
2026-01-11 18:55:13 +01:00
1df89205ac
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
2445f7cb2b
Implement chunk-aware graph traversal in hybrid_retrieve: Extract both note_id and chunk_id from hits to enhance seed coverage for edge retrieval. Combine direct and additional chunk IDs for improved accuracy in subgraph expansion. Update debug logging to reflect the new seed and chunk ID handling, ensuring better traceability in graph retrieval processes.
2026-01-11 17:48:30 +01:00
47fdcf8eed
Update logging in retriever.py for version 4.5.1: Modify edge count logging to utilize the adjacency list instead of the non-existent .edges attribute in the subgraph, enhancing accuracy in debug statements related to graph retrieval processes.
2026-01-11 17:44:20 +01:00
3e27c72b80
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
39fd15b565
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
d35bdc64b9
Implement WP-15c enhancements across graph and retrieval modules, including full metadata support for Super-Edge aggregation and Note-Level Diversity Pooling. Update scoring logic to reflect new edge handling and improve retrieval accuracy. Version updates to reflect these changes.
2025-12-30 21:47:18 +01:00
e93bab6ea7
Fassadenauflösung unter app/core
Deploy mindnet to llm-node / deploy (push) Successful in 4s
2025-12-28 11:04:40 +01:00
8490911958
modularisierung
2025-12-27 20:26:00 +01:00
