qmd

You can search personal notes and transcripts locally by indexing documents on your device. This enables fast, private knowledge retrieval using keyword, semantic, and hybrid searches without requiring cloud services.

Hybrid search for local knowledge bases combines keyword matching with semantic understanding and LLM-powered reranking. This mechanism operates entirely offline to locate relevant text files quickly while preserving privacy.

Yes, MCP integration supports accessing local document search tools offline. It enables agents like Hermes to retrieve indexed notes and transcripts directly without requiring cloud services.

You can use on-device vector search for private Markdown documentation by applying local embeddings management. This satisfies offline indexing requirements for fast and private knowledge retrieval.

Offline semantic search for personal files operates entirely on-device, meaning indexing and embeddings management rely strictly on local hardware. It does not require cloud services but depends on local resources.