Image & Vision · GitHub ·29 ★

nbmultirag

Un framework in Italiano ed Inglese, che permette di chattare con i propri documenti in RAG, anche multimediali (audio, video, immagini e OCR). It is an Italian and English framework, which allows you to chat with your documents in RAG, including multimedia (audio, video, images and OCR).

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Details

Author
nannib
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
python
Stars
29
First indexed
2026-05-15
Last active
2026-02-11
Directory sync
2026-05-15
@nannib

Overview

Un framework in Italiano ed Inglese, che permette di chattare con i propri documenti in RAG, anche multimediali (audio, video, immagini e OCR). It is an Italian and English framework, which allows you to chat with your documents in RAG, including multimedia (audio, video, images and OCR).

Quick start

git

git clone https://github.com/nannib/nbmultirag

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

What nbmultirag can do

audioframeworkragimage
  • Audio — Transcribes, generates, or transforms audio.
  • Framework — framework task automation.
  • Rag — Retrieves grounded context before answering.
  • Image — Generates or edits images from natural-language prompts.

Frequently asked questions

What is nbmultirag?
Un framework in Italiano ed Inglese, che permette di chattare con i propri documenti in RAG, anche multimediali (audio, video, immagini e OCR). It is an Italian and English framework, which allows you to chat with your documents in RAG, including multimedia (audio, video, images and OCR).
How do I install nbmultirag?
Use git: `git clone https://github.com/nannib/nbmultirag`. Full setup details on the source page linked above.
Is nbmultirag open source?
nbmultirag is published on GitHub.
What are alternatives to nbmultirag?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for nbmultirag is sourced from GitHub, published by nannib.

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