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
742792770c
Implement Phase 3 Agentic Edge Validation in ingestion_processor.py and related documentation updates
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Introduce a new method for persisting rejected edges for audit purposes, enhancing traceability and validation logic. Update the decision engine to utilize a generic fallback template for improved error handling during LLM validation. Revise documentation across multiple files to reflect the new versioning, context, and features related to Phase 3 validation, including automatic mirror edges and note-scope zones. This update ensures better graph integrity and validation accuracy in the ingestion process.
2026-01-12 07:45:54 +01:00
716a063849
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
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
8505538b34
Refactor ingestion validation and decision engine error handling: Differentiate between transient and permanent validation errors in ingestion validation to improve data integrity. Enhance decision engine configuration loading with schema validation and error handling for missing keys and YAML syntax errors. Update fallback synthesis prompt handling in LLMService for improved error recovery. Add new fallback synthesis prompts to prompts.yaml for better context-based responses.
2026-01-02 22:09:16 +01:00
1563ebbdf9
Update Decision Engine to version 1.3.2: Implement ultra-robust intent parsing using regex, restore prepend_instruction logic, and enhance logging for configuration loading. Improve fallback mechanisms for response generation to ensure reliability.
2026-01-02 21:42:09 +01:00
38fac89f73
Update Decision Engine for WP-25b: Enhance intent processing with robust intent cleaning and lazy loading. Improve strategy determination by validating against known strategies and streamline response generation. Bump version to 1.3.1 to reflect these optimizations.
2026-01-02 21:35:02 +01:00
7026fc4fed
Update components for WP-25b: Implement Lazy-Prompt-Orchestration across ingestion, decision engine, chat interface, and LLM service. Enhance prompt management with hierarchical model support and streamline response generation by removing manual formatting. Bump versions to reflect new features and optimizations.
2026-01-02 20:43:31 +01:00
9b906bbabf
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
9a98093e70
Enhance Decision Engine configuration: Add 'router_profile' setting to decision_engine.yaml and update the DecisionEngine class to utilize this profile when generating responses, improving flexibility in strategy determination.
2026-01-02 07:45:34 +01:00
d0eae8e43c
Update Decision Engine and related components for WP-25a: Bump version to 1.2.0, enhance multi-stream retrieval with pre-synthesis compression, and integrate Mixture of Experts (MoE) profile support. Refactor chat interface to utilize new compression logic and llm_profiles for improved synthesis. Maintain compatibility with existing methods and ensure robust error handling across services.
2026-01-02 07:04:43 +01:00
ea38743a2a
Update Decision Engine and DTOs for WP-25: Bump version to 1.0.3 and 0.7.1 respectively. Introduce stream tracing support by adding 'stream_origin' to QueryHit model. Enhance robustness with pre-initialization of stream variables and improve logging for unknown strategies. Refactor prompts for clarity and consistency in multi-stream synthesis.
2026-01-01 12:38:32 +01:00
ed3f3e5588
Update Decision Engine for WP-25: Bump version to 1.0.2, enhance robustness by pre-initializing stream variables to prevent KeyErrors, and fix template mismatches in strategy definitions. Ensure compatibility with updated YAML configuration for multi-stream retrieval strategies.
2026-01-01 08:51:33 +01:00
008167268f
Update main application and services for WP-25 release, introducing Agentic Multi-Stream RAG capabilities. Enhance lifespan management, global error handling, and integrate LLMService with DecisionEngine for improved retrieval and synthesis. Update dependencies and versioning across modules, ensuring compatibility with new multi-stream architecture. Refactor chat router to support new intent classification and retrieval strategies, while maintaining stability and performance improvements.
2026-01-01 07:52:41 +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
