Data & Research · GitHub ·3 ★

noto-ai-app

Noto.ai is a local AI-powered PDF assistant that lets you chat with documents, ask questions, and get instant summaries—all offline using LLaMA 3 via Ollama. Built with Python and Kivy, it offers a clean desktop interface for students, researchers, and professionals who want to extract insights from

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Details

Author
sagnikdatta2k6
Category
Data & Research
Platform
GitHub
Framework
custom
Language
kvlang
Stars
3
First indexed
2026-05-15
Last active
2025-07-02
Directory sync
2026-05-15
@sagnikdatta2k6

Overview

Noto.ai is a local AI-powered PDF assistant that lets you chat with documents, ask questions, and get instant summaries—all offline using LLaMA 3 via Ollama. Built with Python and Kivy, it offers a clean desktop interface for students, researchers, and professionals who want to extract insights from

Quick start

git

git clone https://github.com/sagnikdatta2k6/noto-ai-app

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What noto-ai-app can do

researchassistant
  • Research — Searches sources and synthesises evidence-based answers.
  • Assistant — Acts as a personal helper for everyday tasks.

Frequently asked questions

What is noto-ai-app?
Noto.ai is a local AI-powered PDF assistant that lets you chat with documents, ask questions, and get instant summaries—all offline using LLaMA 3 via Ollama. Built with Python and Kivy, it offers a clean desktop interface for students, researchers, and professionals who want to extract insights from
How do I install noto-ai-app?
Use git: `git clone https://github.com/sagnikdatta2k6/noto-ai-app`. Full setup details on the source page linked above.
Is noto-ai-app open source?
noto-ai-app is published on GitHub.
What are alternatives to noto-ai-app?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for noto-ai-app is sourced from GitHub, published by sagnikdatta2k6.

Last scraped: · First indexed:

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