Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
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Oct 26, 2026 - Swift
Search your computer by what's in your files: photos, PDFs, documents, recordings, videos and code. On-device on Mac, Windows and Linux, built on Google DeepMind's EmbeddingGemma 2.
多模态检索实战:意图识别、Prompt 工程、Qwen LoRA、EmbeddingGemma 2 与 InfoNCE 对比学习。含真实演示、自有数据接入、训练评测及 RAG 检索组件学习指南。
EmbeddingGemma2 resources: local search apps, decision models, inference frameworks, tutorials, and datasets. English / 简体中文.
Popcorn Society - a full-stack movie discovery app with a voice-first AI concierge, explainable recommendations, and GitOps delivery to a self-hosted k3s cluster.
基于 Google DeepMind 的 EmbeddingGemma 2 的本地多模态文件语义搜索器:用一句话描述文件的内容,在你选定的文件夹中找到文档、照片、截图、录音和视频,也可以以图搜图。支持 Windows、Android。
Search your photos, screenshots and PDFs by what's inside them — locally and offline, with EmbeddingGemma 2. Demo folder included.
Find anything on your PC by what's in it: local, private semantic search for Windows. Photos, screenshots, PDFs, documents, recordings and videos, in 100+ languages, with EmbeddingGemma 2 on llama.cpp.
Does your AI-generated sound match the prompt? Local QA for generative audio — check, rank, QC, picture-fit and library search with EmbeddingGemma 2. CLI, web workbench, MCP server.
GameMaker y GML en español: biblioteca verificada y skill para tu IA. Desarrollo con especificación, pruebas, revisión y búsqueda semántica local.
Local multimodal RAG for PDFs: MinerU, embeddinggemma-2, FAISS, BM25, BGE reranking and Ollama. Runs on your hardware via web and desktop; summaries, outlines and quizzes of any document.
Offline AI search for photos, video & audio, powered by EmbeddingGemma 2 — jump to the exact second in a video. macOS · Windows · Docker/NAS · MCP. 用一句话找到照片和视频里的那一刻
This VL-JEPA implimentation takes direct insperation from the original VL-JEPA paper
🔒 100% Private RAG Stack with EmbeddingGemma, SQLite-vec & Ollama - Zero Cost, Offline Capable
MedGEM brings Google's MedGemma and MedASR to offline Android devices for private, multimodal clinical support anywhere.
Find files by what's in them: photos, PDFs, docs, voice memos and video, on your own computer. EmbeddingGemma 2 + llama.cpp; CLI, app and MCP server for agents.
grep for video content: describe an action or scene and find the moment it happens, from the terminal, over SSH, on servers and headless boxes
Chat with your photos, search and edit them, 100% on your Mac. Built on EmbeddingGemma 2 and Gemma 4.
Training-free audio decisions (call routing, language ID) with EmbeddingGemma 2
本地优先的创作者素材库:视频、图片、音频与文本统一管理和检索。支持 SQLite FTS5 关键词搜索、EmbeddingGemma 2 语义搜索、文字搜图片与视频关键帧的跨模态搜索,以及中文 ASR、句级时间戳、场景检测与 AI 画面描述。Local-first creator asset search with FTS5, semantic and cross-modal retrieval.
Local multimodal semantic search for your files - powered by Google EmbeddingGemma 2 (ONNX). Text/PDF/image/screenshot/video, mixed Chinese-English queries, 100% offline.
To associate your repository with the embeddinggemma topic, visit your repo's landing page and select "manage topics."