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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.

Python MIT GitHub ↗

★ 0

stars

AI relevance

solo dev

tool sigs

SUMMARY AI summary by gpt-5-mini

SemanticsDはmacOS向けのローカル・マルチモーダル意味検索デーモンで、ファイル名や文字列一致ではなく「意味」でファイルを探せるようにするツールです。FSEventsでフォルダを監視し、テキスト、コード、PDF、スキャン画像、スクリーンショット、音声などを抽出→チャンク化→ハッシュ→埋め込みし、sqlite-vec（ベクトル）とFTS5（全文検索）に保存します。検索はベクトル類似度とFTS5のハイブリッド検索を行い、クロスモーダル検索やファイル単位の重み付け、RRFによる統合で結果を返します。ローカル（Ollama、sentence-transformers、Qwen3-VL/MPS）とクラウド（OpenAI、Gemini）両方の埋め込みプロバイダを選択可能で、CLIとHTTP APIを提供。対象は設定やCLI編集に慣れたmacOSのパワーユーザーで、Spotlightの代替ではなく補完を意図します。導入にはmacOS 13+、Python 3.11+（enable_load_extension）が必要です。

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (3)

OpenAI Gemini Ollama

🤖 LLM models (3)

Gemini Llama Qwen

🔢 Embedding models (1)

sentence-transformers

💾 Databases (1)

SQLite

GitHub Topics

#embeddings #gemini-embeddings #hybrid-search #local-first #macos #multimodal #ollama #python #qwen #semantic-search #sqlite-vec #vector-search

Language breakdown (by bytes)

HTML

Shell

0.5%

Python

90.3%

Makefile

0.3%

Owner

Account

vijay2411

Type

User

Followers

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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