This tutorial walks Go developers through creating a fully functional AI Agent using Eino, covering knowledge‑base indexing with VikingDB, defining retrieval, weather, and web‑search tools, assembling a ReAct graph, running interactive queries, and adapting the demo for production environments.
This guide walks through why enterprise‑grade LLM services need a dedicated Go framework, explains Eino’s four‑layer architecture, shows production‑ready code for model gateways, tools, RAG pipelines and graph orchestration, and provides best‑practice recommendations for performance, observability, security, testing, and deployment.
This article explains how to re‑implement ByteDance's DeerFlow deep‑research framework in Go (Deer‑Go), covering the multi‑agent architecture, control‑hand‑off, interrupt & checkpoint mechanisms, integration with the Hertz SSE server, and step‑by‑step deployment instructions.
This article introduces Eino, an open‑source Golang framework for large‑model AI applications, explains its core capabilities, walks through creating a simple AI assistant with message templates and chat model integration, and demonstrates how to extend the system with tools and a modular architecture for future expansion.
This comprehensive article explores the evolution of AI agents, explains key protocols like MCP and A2A, compares reasoning frameworks such as CoT, ReAct, and Plan‑and‑Execute, and demonstrates how Golang frameworks Eino and tRPC‑A2A‑Go enable elegant development, orchestration, and observability of complex multi‑agent systems with practical code examples and visual diagrams.
