Stars
Build Real-Time Knowledge Graphs for AI Agents
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A modular graph-based Retrieval-Augmented Generation (RAG) system
The latest graphrag interface is used, using the local ollama to provide the LLM interface.Support for using the pip installation
Spring Cloud Release Train - dependency management across a wide range of Spring Cloud projects.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
👮♂️The sensitive word tool for java.(敏感词/违禁词/违法词/脏词。基于 DFA 算法实现的高性能 java 敏感词过滤工具框架。内置支持单词标签分类分级。请勿发布涉及政治、广告、营销、翻墙、违反国家法律法规等内容。高性能敏感词检测过滤组件，附带繁体简体互换，支持全角半角互换，汉字转拼音，模糊搜索等功能。)
ChatGPT Java SDK支持流式输出、Gpt插件、联网。支持OpenAI官方所有接口。ChatGPT的Java客户端。OpenAI GPT-3.5-Turb GPT-4 Api Client for Java
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
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…
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
ACE (Autonomous Cognitive Entities) - 100% local and open source autonomous agents
哔哩哔哩 bilibili 网站后台工程 源码 来自 https://github.com/openbilibili
A cloud-native Go microservices framework with cli tool for productivity.
Stable Diffusion web UI
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
A 13B large language model developed by Baichuan Intelligent Technology
Gin is a high-performance HTTP web framework written in Go. It provides a Martini-like API but with significantly better performance—up to 40 times faster—thanks to httprouter. Gin is designed for …
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。