Obsidian Graph FAQs

Question 1

What is Obsidian Graph and how does it enhance my vault?

Accepted Answer

Obsidian Graph is an AI-powered tool that transforms your Obsidian vault into a semantic knowledge graph. It goes beyond keyword search by using vector embeddings to find conceptual connections, discover hidden relationships, and provide AI-driven navigation through your notes.

Question 2

How does Obsidian Graph find connections between notes?

Accepted Answer

It leverages Voyage Context-3 AI embeddings to convert your notes into 1024-dimensional vectors. By calculating cosine similarity between these vectors, it identifies semantically related notes, enabling multi-hop graph traversal, connection discovery, and sophisticated semantic search.

Question 3

Can Obsidian Graph help me identify Maps of Content (MOCs) or isolated insights?

Accepted Answer

Yes, it offers 'Hub Analysis' to identify highly connected notes that are strong candidates for MOCs (Maps of Content). Conversely, its 'Orphan Detection' feature helps you find isolated notes that may need further integration into your knowledge base.

Question 4

Is Obsidian Graph suitable for very large Obsidian vaults?

Accepted Answer

Absolutely. Obsidian Graph is built for performance and scalability, featuring automatic chunking for large notes, efficient HNSW indexing with PostgreSQL+pgvector, and optimized search/graph building queries. It can effectively manage extensive knowledge bases.

Question 5

What are the costs associated with using Obsidian Graph?

Accepted Answer

Obsidian Graph relies on Voyage AI for generating embeddings. Voyage AI offers a free tier of 200 million tokens (sufficient for ~50,000 notes) per account. However, a payment method is required to unlock higher rate limits beyond the default 3 RPM, even within the free token allowance.

Obsidian Graph

Obsidian Graph

Key Features

Use Cases

Key Features

Use Cases