Obsidian and AI Knowledge Management Enhancements

2 min read

📅 2025-05-09 — Session: Obsidian and AI Knowledge Management Enhancements

🕒 20:00–21:45
🏷️ Labels: Obsidian, AI, Markdown, Automation, Knowledge Management
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to design and implement enhancements for knowledge management using Obsidian and AI tools, focusing on Markdown processing, semantic routing, and automation.

Key Activities

  • Designed a modular Markdown patch engine to integrate AI-generated content into existing Markdown files without duplication.
  • Proposed a semantic heading matching layer to resolve mismatches between AI-generated and existing headings.
  • Outlined a two-stage semantic routing system for organizing knowledge in Markdown.
  • Refined a knowledge base construction flow to enhance AI integration with minimal use.
  • Developed methods for Obsidian-compatible local systems and installation guides for Linux.
  • Set up Obsidian Publish for transforming local vaults into public websites.
  • Enhanced Markdown practices for Obsidian Publish.
  • Strategized a semi-automated knowledge curation approach leveraging AI.
  • Integrated GPT screeners with Obsidian Publishing for structured annotation.
  • Proposed a unified JSON schema for organizing AI-generated responses in Obsidian.
  • Executed a plan for creating Obsidian-ready Markdown files from JSON responses.
  • Improved AIflow for GPT chat review by chaining schema calls.
  • Provided developer onboarding for automation scripts like ingest.py and batch_promptflow_runner.py.
  • Explored options for modular PromptFlow structures and extended DAGs for dual schema support.
  • Implemented a dynamic LLM wrapper using Pydantic for schema validation.

Achievements

  • Established a comprehensive framework for integrating AI with Obsidian for knowledge management.
  • Developed guides and templates for setting up and optimizing Obsidian and associated automation scripts.
  • Enhanced the flexibility and modularity of PromptFlow and LLM wrappers.

Pending Tasks

  • Further testing and refinement of the proposed systems and scripts.
  • Continued development of modular and dynamic schema support in PromptFlow.

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