# RAG optimization

A fine-tuned sentence transformer model customized for movie and TV show recommendation systems, optimizing high-quality vector retrieval in the RAG pipeline.

PathummaLLM-text-1.0.0-7B is a large language model with 7 billion parameters that supports Thai, Chinese, and English. It is fine-tuned based on OpenThaiLLM-Prebuilt for instruction, optimizing RAG, constrained generation, and reasoning tasks.

Vietnamese text embedding model focused on RAG (Retrieval-Augmented Generation) and productivity, fine-tuned based on intfloat/multilingual-e5-base

An optimized model based on microsoft/Phi-3-mini-128k-instruct, focusing on improving context adherence and reducing hallucination phenomena, suitable for RAG application scenarios.

A CoSENT framework model designed specifically for Chinese text semantic understanding, suitable for Retrieval Augmented Generation (RAG) tasks

Loquace is an Italian-speaking, instruction-fine-tuned large language model aimed at promoting the democratization of AI and LLMs in Italy.