RAG_based_on_Jetson
This project has implemented the RAG function on Jetson and supports TXT and PDF document formats. It uses MLC for 4-bit quantization of the Llama2-7b model, utilizes ChromaDB as the vector database, and connects these features with Llama_Index. I hope you like this project.
Details
- Author
- Seeed-Projects
- Category
- Data & Research
- Platform
- GitHub
- Framework
- llamaindex
- Language
- python
- Stars
- 12
- First indexed
- 2026-05-15
- Last active
- 2024-05-16
- Directory sync
- 2026-05-15
Overview
This project has implemented the RAG function on Jetson and supports TXT and PDF document formats. It uses MLC for 4-bit quantization of the Llama2-7b model, utilizes ChromaDB as the vector database, and connects these features with Llama_Index. I hope you like this project.
Quick start
git
git clone https://github.com/Seeed-Projects/RAG_based_on_JetsonSnippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.
What RAG_based_on_Jetson can do
Frequently asked questions
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