509efc9393
Implement WP-26 v1.3 (Phase 3): Enhance graph schema validation and edge handling
...
- Introduced a new function `load_graph_schema_full` to parse and cache both typical and prohibited edge types from the graph schema.
- Updated `load_graph_schema` to utilize the full schema for improved edge type extraction.
- Added `get_topology_info` to retrieve typical and prohibited edges for source/target pairs.
- Implemented `validate_intra_note_edge` and `validate_edge_against_schema` for schema validation of intra-note edges.
- Enhanced logging for schema validation outcomes and edge handling.
- Updated documentation to reflect new validation features and testing procedures.
2026-01-26 10:18:31 +01:00
4802eba27b
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
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
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
19d899b277
Große Modularisierung WP19b
2025-12-27 19:47:23 +01:00
94e5ebf577
WP13b Refactoring ingestion und Chunker
2025-12-27 10:25:35 +01:00
