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DataFunSummit
DataFunSummit
May 8, 2026 · Artificial Intelligence

Agent Architecture in Action: Building Next‑Gen Recommendation and Search Systems

This article reviews cutting‑edge AI search and recommendation technologies, covering Alibaba Cloud's Agentic RAG architecture, Huawei Noah's LLM‑enhanced recommendation pipeline, and Baidu's generative ranking model GRAB, while detailing their design challenges, multi‑modal retrieval strategies, performance gains, and real‑world deployment results.

AI searchAgentic RAGGenerative Ranking
0 likes · 6 min read
Agent Architecture in Action: Building Next‑Gen Recommendation and Search Systems
DataFunSummit
DataFunSummit
May 1, 2026 · Artificial Intelligence

How Agentic Architectures Power the Next‑Gen Recommendation and Search Systems

This article summarizes a technical ebook that analyzes the evolution of recommendation and search systems—from deep‑learning models to large‑language‑model agents—detailing multi‑agent RAG architectures, Huawei’s KAR knowledge adapters, Baidu’s generative ranking (GRAB), Elasticsearch vector search, and performance results such as a 1.5% AUC lift and GPU‑accelerated throughput gains.

ElasticsearchGenerative RankingMulti-Agent Architecture
0 likes · 6 min read
How Agentic Architectures Power the Next‑Gen Recommendation and Search Systems
AI Architecture Hub
AI Architecture Hub
Apr 27, 2026 · Artificial Intelligence

Sub-Agent vs Agent Team: Choosing the Right Architecture for Complex AI Tasks

The article analyzes why many AI projects misuse multi‑agent setups, explains the fundamental differences between Sub‑Agent (isolated parallel executors) and Agent Team (collaborative teams with shared state), and provides concrete guidelines, code examples, and design principles to select the appropriate architecture for a given task.

AI agentsAgent TeamMulti-Agent Architecture
0 likes · 10 min read
Sub-Agent vs Agent Team: Choosing the Right Architecture for Complex AI Tasks
Ray's Galactic Tech
Ray's Galactic Tech
Apr 3, 2026 · Artificial Intelligence

Building a Production‑Ready High‑Concurrency Story Generation System with Spring AI Alibaba

This article explains how to design and implement a scalable multi‑agent architecture for AI‑driven story creation using Spring AI Alibaba, covering core design principles, engineering optimizations, orchestration, high‑concurrency handling, observability, and deployment best practices.

KubernetesMulti-Agent ArchitectureOrchestration
0 likes · 29 min read
Building a Production‑Ready High‑Concurrency Story Generation System with Spring AI Alibaba
PMTalk Product Manager Community
PMTalk Product Manager Community
Mar 29, 2026 · Product Management

Why AI Product Managers Must Rethink Their Core Logic in the Multi‑Agent Era

The article explains how multi‑agent architectures reshape AI product management by exposing structural bottlenecks of single agents, outlines when and how to decompose tasks, and provides concrete design decisions—including orchestration, context passing, failure handling, and human‑in‑the‑loop—to build reliable, high‑quality AI products.

AI product managementHuman-in-the-LoopMulti-Agent Architecture
0 likes · 16 min read
Why AI Product Managers Must Rethink Their Core Logic in the Multi‑Agent Era
Ops Development Stories
Ops Development Stories
Mar 1, 2026 · Artificial Intelligence

Build a Multi‑Agent AI Bot System in Feishu Using OpenClaw

This guide explains why a single AI bot becomes inefficient, introduces OpenClaw’s multi‑agent architecture, and provides a step‑by‑step tutorial—including CLI commands, configuration files, and JSON bindings—to set up isolated agents in different Feishu groups that can collaborate through internal communication channels.

AI agentsCLI configurationFeishu
0 likes · 12 min read
Build a Multi‑Agent AI Bot System in Feishu Using OpenClaw
DataFunTalk
DataFunTalk
Jan 4, 2026 · Artificial Intelligence

How Agentic RAG and Generative Ranking Are Redefining AI Search and Recommendation

This article summarizes three cutting‑edge AI techniques—Alibaba Cloud's Agentic RAG architecture for multimodal search, Huawei Noah's large‑model‑driven recommendation system evolution, and Baidu's generative ranking (GRAB) model for ads—detailing their challenges, designs, performance gains, and practical deployment insights.

AI searchGenerative RankingMulti-Agent Architecture
0 likes · 7 min read
How Agentic RAG and Generative Ranking Are Redefining AI Search and Recommendation
DataFunTalk
DataFunTalk
Dec 3, 2025 · Artificial Intelligence

Unlocking Multi‑Agent AI: Architecture and Context‑Engineering Lessons from Alibaba Cloud’s Aivis

The article presents Alibaba Cloud’s Aivis digital‑employee architecture, explains how context engineering and multi‑agent design improve enterprise AI agents, and shares ten practical optimization tips drawn from real‑world deployments and a recent Agentic AI Summit session.

Context EngineeringEnterprise AIMulti-Agent Architecture
0 likes · 7 min read
Unlocking Multi‑Agent AI: Architecture and Context‑Engineering Lessons from Alibaba Cloud’s Aivis
Fun with Large Models
Fun with Large Models
Oct 18, 2025 · Artificial Intelligence

Building DeepResearch from Scratch (Part 2): Architecture Design and Implementation with LangGraph

This article walks through the design and implementation of a multi‑agent DeepResearch application using the Pipeline‑Agent pattern with LangGraph and LangChain, detailing three agents for task planning, web search via Tavily, and report generation, and provides complete Python code and test results.

AI agentsLangChainLangGraph
0 likes · 16 min read
Building DeepResearch from Scratch (Part 2): Architecture Design and Implementation with LangGraph
Architect
Architect
Apr 20, 2025 · Artificial Intelligence

From Function Calling to A2A: How AI Agents Evolve and Interact

This article analyzes the progressive evolution of AI tool‑integration mechanisms—Function Calling, MCP, and A2A—explaining their core concepts, engineering considerations, use‑case suitability, limitations, and how they complement each other to enable scalable multi‑agent workflows.

A2AAI agentsFunction Calling
0 likes · 9 min read
From Function Calling to A2A: How AI Agents Evolve and Interact
Architect
Architect
Mar 7, 2025 · Artificial Intelligence

Open‑Source AI Agents: MetaGPT/OpenManus, CAMEL‑AI/OWL, and OpenHands – Architecture, Features, and Challenges

This article examines three open‑source AI‑agent projects—MetaGPT/OpenManus, CAMEL‑AI/OWL, and OpenHands—detailing their modular architectures, tool‑chain integrations, performance benchmarks, deployment workflows, security considerations, and the broader implications for democratizing AI agent technology.

DockerMulti-Agent Architecturebenchmark
0 likes · 11 min read
Open‑Source AI Agents: MetaGPT/OpenManus, CAMEL‑AI/OWL, and OpenHands – Architecture, Features, and Challenges
Baidu Tech Salon
Baidu Tech Salon
Dec 4, 2024 · Artificial Intelligence

AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture

The article presents an AI‑driven microservice governance platform that employs a multi‑agent architecture—Director, Coder, Ops, and Diagnosis agents guided by SOP‑encoded prompts—to enable natural‑language, full‑process interactions, LLM‑based root‑cause analysis, and a continuous data‑flywheel that evolves models through large‑scale dialogue evaluation.

AI-Driven DevOpsData FlywheelIntelligent Fault Diagnosis
0 likes · 10 min read
AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture
Baidu Geek Talk
Baidu Geek Talk
Dec 4, 2024 · Artificial Intelligence

AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture

The article introduces Jarvis, an AI-driven microservice governance platform that uses a multi-agent architecture and natural-language dialogue to automate full-process operations such as deployments, rate limiting, and circuit-breaker configuration, while leveraging large language model reasoning for root-cause diagnosis and a data-flywheel that continuously trains lightweight expert models.

AI DevOpsData FlywheelIntelligent Fault Diagnosis
0 likes · 10 min read
AI-Driven Microservice Governance Platform Based on Multi-Agent Architecture
DataFunTalk
DataFunTalk
Jul 19, 2024 · Artificial Intelligence

Underlying Logic and Multi‑Agent Architecture of AI Agents in Baidu's Commercial Advertising Platform

The article explains how Baidu's commercial advertising platform leverages generative AI agents—covering their core capabilities of understanding, planning, execution, and persona—to overcome challenges such as hallucination and integration, describing a multi‑layer architecture, key technologies, real‑world case studies, and the resulting performance and operational benefits.

AI agentsLLM MemoryMulti-Agent Architecture
0 likes · 18 min read
Underlying Logic and Multi‑Agent Architecture of AI Agents in Baidu's Commercial Advertising Platform