Retrieval-Augmented Generation (RAG) has emerged as a cornerstone technique for enhancing the factual grounding, knowledge scope, and reasoning capabilities of…
HunyuanVideo: Open-Source, High-Fidelity Video Generation That Rivals Closed Models 11437
HunyuanVideo is a groundbreaking open-source video foundation model developed by Tencent, designed to deliver professional-grade video generation capabilities without the…
FireRedASR: Industrial-Grade Mandarin Speech Recognition with SOTA Accuracy and LLM Integration 1658
FireRedASR is an open-source, industrial-grade automatic speech recognition (ASR) system specifically engineered for Mandarin Chinese—but with strong capabilities in Chinese…
UltraRAG: Build Adaptive, Multimodal RAG Systems Without Writing Complex Code 2325
Retrieval-Augmented Generation (RAG) has become a cornerstone technique for grounding large language models (LLMs) in real-world knowledge. However, building effective…
VLMEvalKit: One-Command Evaluation for 200+ Vision-Language Models Across 80+ Benchmarks 3536
Evaluating large vision-language models (LVLMs) used to be a fragmented, time-consuming chore—juggling dozens of benchmark repositories, writing custom data loaders,…
HunFlair: State-of-the-Art Biomedical Named Entity Recognition with Just Four Lines of Code 14333
Biomedical text is dense with critical information—gene names, chemical compounds, diseases, species—but extracting that information manually is time-consuming and error-prone.…
RAG-Anything: The First All-in-One RAG Framework for Multimodal Documents—Text, Images, Tables & Equations in One System 11048
Retrieval-Augmented Generation (RAG) has revolutionized how we use large language models by grounding their responses in external knowledge. But here’s…
MiniRAG: Enable Small Language Models to Deliver Powerful RAG with Minimal Resources 1605
Retrieval-Augmented Generation (RAG) has become a cornerstone technique for grounding language models in factual knowledge. However, traditional RAG pipelines struggle…
EASYTOOL: Streamline LLM Agent Tool Usage with Concise, Unified Instructions 24492
Building capable AI agents that interact with real-world tools—like APIs, software libraries, or external services—is a core challenge in deploying…
AutoGL: Automate Graph Learning Pipelines Without Manual Tuning or Expert GNN Knowledge 1131
Graph-based machine learning has become essential across domains—from social network analysis and fraud detection to drug discovery and recommendation systems.…