# RAG enhancement

A 4B-parameter large language model released by NVIDIA, supporting 128k tokens context length, optimized for reasoning, dialogue, and RAG tasks

The NeuralLake iSA-03 Mini 3B is an advanced AI model developed by NeuralLake Technology, combining the direct response capabilities of traditional large language models with automated multi-step reasoning, supporting ultra-long context processing of 256K tokens.

PLLuM is a large - language - model family focused on Polish and other Slavic/Baltic languages, while incorporating English data to achieve broader generalization ability.

RigoChat-7b-v2 is a Spanish-optimized model based on Qwen-2.5, with performance enhanced through DPO fine-tuning, focusing on accurate responses to Spanish queries.

A Thai legal text retriever fine-tuned based on the bge-m3 model, focusing on the field of corporate and commercial law

Cymist2-v0.1 is an advanced language model developed by Cypien AI team, specifically optimized for Turkish and English text generation tasks, supporting Retrieval-Augmented Generation (RAG) and Supervised Fine-Tuning (SFT).

Llama-3-SauerkrautLM-8b-Instruct is an improved version based on Meta-Llama-3-8B-Instruct jointly developed by VAGO Solutions and Hyperspace.ai. It is optimized through DPO alignment and supports German and English.

This is a sentence-transformers-based model capable of mapping sentences and paragraphs into a 768-dimensional dense vector space, suitable for tasks like clustering or semantic search.