📅 2025-05-09 — Session: Developed Dual-Schema System for Obsidian and Business Intelligence
🕒 22:05–23:05
🏷️ Labels: Obsidian, Business Intelligence, Metadata, Python, Schema
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop a dual-layer classification system and a unified schema for organizing knowledge in Obsidian and for business intelligence purposes.
Key Activities
- Tag Classification Insight: Explored the role of tags in semantic grouping and decision-making.
- Dual-Layer Classification: Designed a schema for memory organization and business monetization.
- Unified Schema Development: Created a consolidated schema for note generation in Obsidian, focusing on essential metadata elements.
- Obsidian Screening Schema: Developed a structured JSON schema for Obsidian metadata management.
- Business Intelligence Schema: Designed a JSON schema for extracting business and product intelligence.
- Jinja2 Templates: Created prompt templates for memory curation and business intelligence.
- Dual-Schema Outputs: Outlined the integration of dual-schema outputs for Obsidian and business intelligence.
- Script Enhancements: Updated Python scripts for merging enriched files and transitioning to a flat directory structure for Markdown exports.
- Metadata Management: Enhanced MemoryNote and register_embedding functions for better metadata handling in ChromaDB.
Achievements
- Successfully created and outlined dual-layer and unified schemas for Obsidian and business intelligence.
- Developed and tested Python scripts for data processing and file structure optimization.
- Enhanced metadata management and retrieval processes in ChromaDB.
Pending Tasks
- Implement dual-schema outputs in live systems.
- Further test and refine Python scripts for broader compatibility.
- Continue enhancing metadata retrieval processes in ChromaDB.