Stars
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
A powerful tool for creating fine-tuning datasets for LLM
DLRover: An Automatic Distributed Deep Learning System
A curated collection of influential surveys and papers on Retrieval-Augmented Generation (RAG), covering frameworks, evaluations, multi-modal extensions, and domain-specific applications.
A Survey on Multimodal Retrieval-Augmented Generation
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
Python tool for converting files and office documents to Markdown.
A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。
Convert PDF to markdown + JSON quickly with high accuracy
Fully open reproduction of DeepSeek-R1
Building DeepSeek R1 from Scratch
Analyze computation-communication overlap in V3/R1.
A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
Code and documentation to train Stanford's Alpaca models, and generate the data.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
LLM Finetuning with peft
Robust recipes to align language models with human and AI preferences
Best practices for distilling large language models.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
the resources about the application based on LLM with RAG pattern