A Comparative Study of Language Models for Khmer Retrieval-Augmented Question Answering

In three linesComparative study of RAG systems for Khmer. BGE-M3 outperforms Jina-Embeddings-v3 and Qwen3-Embedding in dense retrieval (Hit Rate@3: 0.285). Evaluation of 5 generators (Qwen3, Qwen3.5, Sailor2, SeaLLMs-v3, Llama-SEA-LION-v2) on 200 QA pairs using 6 RAGAS metrics. No single model dominates all criteria; retriever selection remains the bottleneck.

Summary generated by Claude — human-verified