📅 2025-05-09 — Session: Developed Dual-Schema System for Obsidian and Business Intelligence
🕒 22:05–23:05
🏷️ Labels: Obsidian, Business Intelligence, Metadata, Automation, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to develop and refine a dual-schema system for use in Obsidian and business intelligence applications, focusing on metadata management and automation.
Key Activities
- Explored the role of tags and classification in organizing assistant responses.
- Planned and outlined a dual-layer classification system for knowledge management in Obsidian.
- Developed a unified schema for note generation, emphasizing field consolidation.
- Created detailed JSON schemas for metadata extraction in business and product intelligence.
- Implemented Jinja2 prompt templates for screening contexts.
- Outlined dual-schema outputs for Obsidian and business intelligence workflows.
- Updated scripts for merging enriched files and transitioning to a flat directory structure for Markdown exports.
- Enhanced Python scripts for handling flattened JSON structures and metadata injection.
- Improved metadata retrieval methods in ChromaDB.
Achievements
- Successfully designed a dual-schema system that integrates with both Obsidian and business intelligence workflows.
- Enhanced existing Python scripts to accommodate new metadata structures.
- Improved metadata handling and retrieval efficiency in ChromaDB.
Pending Tasks
- Further testing and validation of the dual-schema system in real-world scenarios.
- Continued refinement of metadata management processes.
- Integration of enhanced metadata retrieval methods into broader workflows.