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TutorialsDeep dive into a Go-based generative recommendation system powered by LLMs, covering three-level semantic understanding, three-layer user memory, and five-dimensional feedback design.
TutorialsA complete guide to building commercial AI Agents in 7 steps: requirements analysis, model selection, prompt engineering, Dify/Coze platform comparison, data storage, testing, and deployment.
Deep DivesDeep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
Deep DivesA deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
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Deep DivesDeep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
Tech FrontiersOn AlphaGo's 10th anniversary, Hassabis reunites with Lee Sedol in Korea. A look at how the 2016 match transformed Go theory, training, and AI's path to general intelligence.
Product ReviewsCompare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
Deep DivesDeep dive into a trending open-source multi-agent framework with 98 expert agents, swarm orchestration, HNSW vector memory, autonomous learning, and Agent Federation for distributed collaboration.
Deep DivesDeep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
TutorialsComplete guide to building AI agents on Coze from scratch, covering LLM configuration, prompt writing, plugin integration, knowledge base setup, and memory systems.
Deep DivesDeep dive into Tencent's open-source LLM knowledge platform WeKnora, covering RAG, autonomous reasoning Agent, and self-maintaining Wiki capabilities, plus its Go-based architecture and enterprise use cases.
TutorialsCompare traditional RAG vs Agentic RAG architectures, explore planning, tool use, and multi-step iteration capabilities, with full LangChain/LangGraph ReAct Agent code and ChatBoss project examples.
Product ReviewsDeep dive into ChuanhuChatGPT, a 15K-star open-source project with multi-model access, Agent support, RAG file Q&A, GPT fine-tuning, and web search.
Deep DivesAnthropic open-sources 754 structured cybersecurity skill definitions across 26 domains, mapped to MITRE ATT&CK and 4 other frameworks, compatible with 20+ AI platforms for standardized AI Agent security capabilities.
Product ReviewsA deep dive into RuoYi-AI, a Java-based enterprise AI development platform supporting multi-vendor LLM integration, RAG knowledge bases, and agent orchestration. 5,200+ Stars on GitHub.