A hyper-optimized, local RAG system built on Streamlit using Google's TurboQuant algorithm and Turbovec vector index for 4 GB RAM setups.
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Updated
Jun 10, 2026 - Python
A hyper-optimized, local RAG system built on Streamlit using Google's TurboQuant algorithm and Turbovec vector index for 4 GB RAM setups.
Build a Production RAG System with Python, LangChain, and ChromaDB Build ShopBot from scratch — a production RAG assistant that answers from retrieved evidence, not training memory. Ten chapters, one complete system.
한국어 RAG 실습 저장소: Gradio, FAISS, BM25, KorQuAD, KorFactScore, 로컬 LLM, Colab 및 Ubuntu/CUDA 환경 설정 예제
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