Local RAG & Semantic Vector Search
Search by meaning, not just keywords. DomoNote embeds your notes, meeting transcripts, and PDF files into local vector indexes for grounded question answering with zero data leakage.
Key Capabilities & Architecture
- Local Embeddings Calculation Runs embedding models like nomic-embed-text locally on your machine.
- Grounded Citations AI answers cite specific documents, page numbers, and meeting timestamps.
- Zero Hallucinations Restricts LLM responses strictly to facts retrieved from your verified local library.
- Blazing Fast In-Memory Search Queries indexed databases in milliseconds without remote network requests.
Frequently Asked Questions
- Do my documents get sent to OpenAI or cloud vector databases?
- No. Vector embeddings and semantic retrieval are executed 100% locally on your machine.
- What embedding models are supported?
- DomoNote supports Ollama-compatible embedding models including nomic-embed-text and all-minilm.
Get Started with DomoNote Today
Free, open source, and runs 100% offline on your device.