Image & Vision · GitHub ·133 ★

Multimodal-RAG-with-Llama-3.2

Multimodal AI agent with Llama 3.2: A Streamlit app that processes text, images, PDFs, and PPTs, integrating NIM microservices, Milvus, and Llama-3.2 models.

Details

Author
jayrodge
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
python
Stars
133
First indexed
2026-05-15
Last active
2024-09-25
Directory sync
2026-05-15

Overview

Multimodal AI agent with Llama 3.2: A Streamlit app that processes text, images, PDFs, and PPTs, integrating NIM microservices, Milvus, and Llama-3.2 models.

Quick start

git

git clone https://github.com/jayrodge/Multimodal-RAG-with-Llama-3.2

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

What Multimodal-RAG-with-Llama-3.2 can do

  • Rag — Retrieves grounded context before answering.
  • Image — Generates or edits images from natural-language prompts.

Frequently asked questions

What is Multimodal-RAG-with-Llama-3.2?
Multimodal AI agent with Llama 3.2: A Streamlit app that processes text, images, PDFs, and PPTs, integrating NIM microservices, Milvus, and Llama-3.2 models.
How do I install Multimodal-RAG-with-Llama-3.2?
Use git: `git clone https://github.com/jayrodge/Multimodal-RAG-with-Llama-3.2`. Full setup details on the source page linked above.
Is Multimodal-RAG-with-Llama-3.2 open source?
Multimodal-RAG-with-Llama-3.2 is published on GitHub.
What are alternatives to Multimodal-RAG-with-Llama-3.2?
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 Multimodal-RAG-with-Llama-3.2 is sourced from GitHub, published by jayrodge.

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