# jayrodge/Multimodal-RAG-with-Llama-3.2

<https://repo.masters-masters.com/en/repos/jayrodge/Multimodal-RAG-with-Llama-3.2>

[Home](https://repo.masters-masters.com/en) › [jayrodge](https://repo.masters-masters.com/en/owners/jayrodge) › [Multimodal-RAG-with-Llama-3.2](https://repo.masters-masters.com/en/repos/jayrodge/Multimodal-RAG-with-Llama-3.2)

jayrodge/Multimodal-RAG-with-Llama-3.2 has 134 stars on GitHub. Its RepoMasters card: Prototype tier. Multimodal AI agent with Llama 3.2: A Streamlit app that…

| Field | Value |
| --- | --- |
| Owner | [jayrodge](https://repo.masters-masters.com/en/owners/jayrodge) |
| Stars | 134 |
| Forks | 16 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jayrodge/Multimodal-RAG-with-Llama-3.2](https://github.com/jayrodge/Multimodal-RAG-with-Llama-3.2) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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