Embedding for Obsidian
Enhances Obsidian with semantic similarity search between notes using embeddings, enabling discovery of related content beyond keyword matching.
Chinese summary
使用嵌入向量在笔记之间进行语义相似度搜索，帮助发现关键词匹配之外的相关内容。
Key Use Cases
- Connecting related ideas across a large vault
- Discovering hidden relationships between notes
- Improving note retrieval and knowledge graph quality
Pros
- Beyond simple keyword/tag matching
- Can reveal unexpected connections
- Useful for large or growing collections
Limitations
- May require significant compute resources locally
- Embedding generation might be slow or depend on external services
- Results can be noisy or less precise than manual linking
Tags
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