Open access
Aug 2026
Retrieval-Augmented Large Language Model Using FAISS for Stock Recommendation on LQ45 Index Based on Technical and Fundamental Analysis
A Retrieval-Augmented Generation (RAG) framework based on the LLaMA model and FAISS is proposed to enhance the reliability of stock investment recommendations for LQ45-listed companies to improve the interpretability and robustness of AI-driven stock analysis.
Murtiyoso Murtiyoso, Imam Tahyudin, Berlilana Berlilana
· Jurnal Teknik Informatika (J... · 0 citations