- Incremented version numbers to reflect updates: authoring guidelines to 1.4.0, knowledge design manual to 4.6.0, and Obsidian integration guide to 1.1.0.
- Introduced detailed documentation on Section Types and Intra-Note-Edges, including syntax, rules, and examples for implementation.
- Enhanced context in the knowledge design manual to include new features related to section types and intra-note edges.
- Updated scopes in all relevant documents to reflect the addition of section types and intra-note edges, ensuring comprehensive coverage of the new functionalities.
- Introduced a `virtual` attribute for automatically generated section transitions and backlinks in the graph edge definitions, indicating their virtual nature.
- Updated documentation to reflect the addition of the `virtual` attribute for both section transitions and backlinks, clarifying its implications for scoring in the retriever.
- Enhanced the understanding of edge types by specifying that these automatically generated edges will receive a penalty during scoring.
- Added functionality to automatically create inverse backlinks for intra-note edges at the chunk level, ensuring that backlinks are generated only when they do not already exist.
- Updated the documentation to outline the requirements and rules for backlink creation, including conditions for deduplication and scope.
- Introduced unit tests to validate the creation of backlinks and ensure correct behavior when existing backlinks are present.
- Incremented version to 4.4.0 to reflect the new feature addition.
- Improved edge type extraction by refining the `load_graph_schema` function to utilize a comprehensive schema.
- Added new functions for validating intra-note edges against the schema and retrieving topology information.
- Enhanced logging for validation processes and updated documentation to reflect these changes.
- 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.
- Updated provenance priorities and introduced a mapping from internal provenance values to EdgeDTO-compliant literals.
- Added a new function `normalize_provenance` to standardize internal provenance strings.
- Enhanced the `_edge` function to include an `is_internal` flag and provenance normalization.
- Modified the `EdgeDTO` model to include a new `source_hint` field for detailed provenance information and an `is_internal` flag for intra-note edges.
- Reduced the provenance options in `EdgeDTO` to valid literals, improving data integrity.
- Added additional spacing for improved readability in the document.
- Ensured consistent formatting throughout the section on causal retrieval for Mindnet.
- Introduced final validation gate for edges with candidate: prefix.
- Enabled automatic generation of mirror edges for explicit connections.
- Added support for Note-Scope zones to facilitate global connections.
- Enhanced section-based links in the multigraph system for improved edge handling.
- Updated documentation and added new ENV variables for configuration.
- Ensured no breaking changes for end users, maintaining full backward compatibility.
- 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.
Update the logging mechanism for ID collisions to include more structured metadata, enhancing the clarity of logged information. This change aims to facilitate easier analysis of conflicts during the ingestion process and improve overall traceability.
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.
