vijay2411/liteserach-multimodal
🔍 100%-offline-capable multimodal semantic search for macOS. Find your files by meaning, not name — text, code, PDFs, images, audio. Ollama + Qwen3-VL local, Gemini/OpenAI optional. Power-user tool, macOS-only.
SUMMARY AI summary by gpt-5-mini
SemanticsD is a macOS-only background daemon that provides local, multimodal semantic search over files on disk (text, code, PDFs, images, screenshots, audio). It watches folders via FSEvents, extracts and chunks file content, hashes to dedupe, embeds per modality (local or cloud embedders) and stores vectors + full-text in a single sqlite-vec/FTS5 database. Queries use a hybrid ranker (semantic vectors + FTS5 BM25 + filename + cross-modal) and return collapsed per-file results. Who uses it: power users and developers on macOS who want privacy-preserving, model-pluggable search across heterogeneous files and to integrate via CLI or HTTP API. Key features: live ~3s indexing, provider-agnostic embedders (Ollama, OpenAI, Gemini, local MPS models), image/audio extractors (OCR, whisper), no external vector DB, MIT-licensed Python project with tests. Not a Spotlight replacement, RAG framework, or a cross-platform GUI product.
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Life is an endless cycle of struggle.
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-09 18:12 |
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