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LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
golang design pattern go 设计模式实现，包含 23 种常见的设计模式实现，同时这也是极客时间-设计模式之美 的笔记
An authorization library that supports access control models like ACL, RBAC, ABAC in Golang: https://discord.gg/S5UjpzGZjN
Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.
Protocol Buffer Validation - replaced by https://github.com/bufbuild/protovalidate
OpenTelemetry Compile-Time Instrumentation for Golang
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…
🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
lambda-go-api-proxy makes it easy to port APIs written with Go frameworks such as Gin (https://gin-gonic.github.io/gin/ ) to AWS Lambda and Amazon API Gateway.
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
Distributed reliable key-value store for the most critical data of a distributed system
🔥基于go-zero(go zero) 微服务全技术栈开发最佳实践项目。Develop best practice projects based on the full technology stack of go zero (go zero) microservices.
毛泽东选集（1-7：原版五卷+静火+赤旗+草堂）、毛泽东读书集成、毛泽东大传、毛泽东年谱、毛泽东画传等
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
LangChain for Go, the easiest way to write LLM-based programs in Go
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
💫 Industrial-strength Natural Language Processing (NLP) in Python
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
AI Agent + Coding Agent + 300+ assistants: agentic AI desktop with autonomous coding, intelligent automation, and unified access to frontier LLMs.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Production-ready platform for agentic workflow development.