nannib/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).
Built on Ollama integration with local LLM execution (LLAMA 3.2 recommended), it uses Tesseract for OCR, HuggingFace embedders (BERT variants, nomic-embed-text), and FFmpeg for multimedia processing—transcribing audio/video and sampling video frames for context. The Streamlit-based GUI manages configurable workspaces with pluggable embedders and document indexing, requiring internet only at startup to download models, then operates fully offline with data remaining local.
Stars
29
Forks
8
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/nannib/nbmultirag"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AnswerDotAI/byaldi
Use late-interaction multi-modal models such as ColPali in just a few lines of code.
illuin-tech/colpali
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
jolibrain/colette
Multimodal RAG to search and interact locally with technical documents of any kind
OpenBMB/VisRAG
Parsing-free RAG supported by VLMs
chiang-yuan/llamp
[EMNLP '25] A web app and Python API for multi-modal RAG framework to ground LLMs on...