- 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 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.
- Increased the timeout for LLM calls from 30 to 60 seconds to accommodate longer processing times.
- Added informative messages for potential timeout causes and troubleshooting tips to improve user awareness.
- Updated error handling to provide clearer feedback on query failures, emphasizing the resolution of the EdgeDTO issue.
- Added a verification step in the health endpoint to check if the service supports 'explicit:callout' for EdgeDTO, providing clearer diagnostics.
- Updated the health response to include messages based on the EdgeDTO version support status, enhancing user awareness of potential issues.
- Adjusted the test query endpoint to reflect the correct path for improved functionality.
- Implemented a check in the health endpoint to determine if EdgeDTO supports explicit callouts, enhancing diagnostic capabilities.
- The check is non-critical and handles exceptions gracefully, ensuring the health response remains robust.
- Updated health response to include the new `edge_dto_supports_callout` field for better insight into EdgeDTO capabilities.
- 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.
Change debug logs to info and warning levels in ingestion_processor.py to enhance the visibility of change detection processes, including hash comparisons and artifact checks. Additionally, ensure .env is loaded before logging setup in import_markdown.py to correctly read the DEBUG environment variable. These adjustments aim to improve traceability and debugging during ingestion workflows.
Update qdrant_points.py, graph_utils.py, ingestion_db.py, ingestion_processor.py, and import_markdown.py: Enhance UUID generation for edge IDs, improve error handling, and refine documentation for clarity. Implement atomic consistency in batch upserts and ensure strict phase separation in the ingestion workflow. Update versioning to reflect changes in functionality and maintain compatibility with the ingestion service.
