Siyuan Note Skill: Connecting Large Language Models to Personal Knowledge Bases

Siyuan Note Skill (siyuan-note-skill) is an open-source tool that enables deep integration between large language models (LLMs) and Siyuan Note's personal knowledge base. It allows AI to perform intelligent Q&A and knowledge management based on users' private note content, solving the problem of efficient retrieval and utilization after knowledge base accumulation, and providing an AI-enhanced knowledge management solution for users who value data sovereignty.

In the era of information explosion, personal knowledge management (PKM) is becoming increasingly important. As a local-first knowledge base tool, Siyuan Note helps users build structured knowledge systems, but as the scale of the knowledge base expands, efficient retrieval and utilization become a challenge. The siyuan-note-skill project builds a bridge between LLMs and personal knowledge bases, allowing AI to understand and utilize users' private knowledge.

Knowledge Base Connection

• Read and understand note content
• Context-aware Q&A
• Cite specific note sources
• Discover hidden connections between notes

Intelligent Q&A Enhancement

Break through the limitation of traditional AI relying on public data, supporting precise Q&A based on private notes

Knowledge Discovery and Organization

• Identify content gaps
• Suggest link relationships between notes
• Summarize and organize scattered knowledge points
• Generate knowledge graphs and topic indexes

Data Access Layer

• Encapsulate Siyuan Note API calls
• Direct access to local file system
• Provide SQLite metadata query interface

Retrieval-Augmented Generation (RAG)

1. Document Chunking: Split long notes into retrieval fragments
2. Vectorization Indexing: Convert text to vectors using embedding models
3. Similarity Retrieval: Find relevant fragments based on queries
4. Context Injection: Inject retrieval results into prompts to guide LLM generation

Model Compatibility

Supports OpenAI GPT, local open-source models (Llama/Qwen, etc.), Claude commercial API, Ollama local inference framework, etc.

• Personal Learning and Research: Quickly review knowledge points, discover research clues, generate literature reviews
• Work Content Management: Retrieve project experience, organize meeting minutes, generate work reports
• Creative Writing Assistance: Provide creative suggestions, check setting consistency, generate plot outlines
• Lifelong Learning Companion: Connect interdisciplinary knowledge, promote innovative thinking

• Local-First Architecture: Supports fully local AI model operation; sensitive knowledge never leaves the device
• Data Access Control: Fine-grained permissions to specify notebooks/pages accessible by AI
• Encryption and Isolation: Ensure encrypted data transmission and secure key storage in cloud API scenarios

• Compared to Notion AI: Open-source and self-controllable vs cloud storage + paid subscription
• Compared to Obsidian Plugins: Provide Siyuan Note users with the same level of intelligent capabilities, enriching open-source PKM options
• Compared to General RAG Frameworks: Optimized for Siyuan Note, ready to use, lowering technical barriers

Future Development Directions

• Multimodal Support: Expand AI's understanding of attachments like images, audio, PDFs, etc.
• Intelligent Tagging and Classification: Automatically generate tags, suggest classifications, identify duplicate content
• Collaboration and Sharing: Support secure knowledge base sharing and collaboration under privacy protection
• Workflow Automation: Deep integration with Siyuan Note templates and databases

Summary

siyuan-note-skill represents the evolutionary direction of personal knowledge management tools, shifting from static storage to AI-enhanced intelligent systems. It allows LLMs to truly understand users' private knowledge, becoming a capable assistant for learning and work, and is an open-source solution worth trying for users who value data sovereignty.