Vibeleaderboard
Index / tool
Visit github.com
Category
Productivity
Rank
No. 3458Tools index
Pricing
Open Source
Type
TOOL
Latest release
v0.1.0
Date

About

A command-line tool that searches notes, PDFs and screenshots by meaning rather than keywords. It runs the EmbeddingGemma 2 model as int8 ONNX on the CPU and keeps one local index, so no data leaves the machine. The model downloads on first use (about 350 MB, with more for images).

Tags

semantic-searchclilocal-firstpdfembeddingsonnx

Tech Stack

Python

Media

anygrep

Comments (0)

No comments yet

Editorially curated, with community endorsements as a secondary signal. Corrections welcome.