FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…

Vision Document Retrieval (ViDoRe): Benchmark. Evaluation code for the ColPali paper.

This repo is the official implementation of "Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning" accepted by AAAI 2025.

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

the resources about the application based on LLM with RAG pattern

A powerful tool for creating fine-tuning datasets for LLM

🦜🔗 Build context-aware reasoning applications

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

Question and Answer based on Anything.

Official Implementation of "KBLaM: Knowledge Base augmented Language Model"

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…

Mobile-Agent: The Powerful Mobile Device Operation Assistant Family

Understanding R1-Zero-Like Training: A Critical Perspective

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

👾 My resume / 我的简历

Official Repository of MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations

An implementation of "M3DOCRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding" by Jaemin Cho, Debanjan Mahata, Ozan Irsoy, Yujie He, and Mohit Bansal (UNC Chape…

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

RL research on Android devices.

🪄 Create rich visualizations with AI

Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".

RAT is a powerful tool that improves AI responses by leveraging DeepSeek's reasoning capabilities to guide other models through a structured thinking process.

Repo for Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

使用 Typst 编写的中文简历, 语法简洁, 样式美观, 开箱即用, 可选是否显示照片