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Murtiyoso Murtiyoso

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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 · 0 citations

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