Obsidian Graph

About

Unlock deeper insights within your Obsidian or markdown vault with AI-powered semantic analysis. This server transforms your notes into a multi-hop knowledge graph, discovering hidden connections and conceptual similarities far beyond keyword matching or explicit links. By leveraging 1024-dimensional Voyage Context-3 embeddings and PostgreSQL with pgvector, it enables semantic search, connection discovery, identification of conceptual hubs, and even detects isolated insights, providing a rich, intelligent layer over your personal knowledge base.

Key Features

• Connection Discovery: Multi-hop BFS graph traversal to map note relationships
• Auto-Indexing: Automatic file watching with 30-second debounce
• Semantic Search: Find notes by meaning, not just keywords
• Orphan Detection: Find isolated insights that need integration
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• Hub Analysis: Identify highly connected conceptual anchors (MOC candidates)

Use Cases

• Discover non-obvious relationships, bridge notes, and conceptual clusters in your knowledge base
• Map multi-level knowledge networks showing how different ideas connect through semantic similarity
• Identify isolated insights or highly connected conceptual anchors for better knowledge organization