Tagged articles

Multi-Agent Architecture

27 articles · Page 1 of 1

Aug 16, 2026 · Artificial Intelligence

How Multi‑Agent Architectures Power the Next Generation of Recommendation and Search Systems

The article reviews cutting‑edge AI search and recommendation techniques—including Agentic RAG, multi‑modal retrieval, GPU‑accelerated indexing, and Baidu’s generative ranking model GRAB—detailing their architectures, optimization strategies, and measured performance gains such as a 1.5% AUC lift.

AI SearchAgentic RAGGPU Acceleration

0 likes · 6 min read

How Multi‑Agent Architectures Power the Next Generation of Recommendation and Search Systems

Golang Shines

Aug 15, 2026 · Information Security

AI Meets Security: Two Popular GitHub Projects Boost Penetration Testing Efficiency Tenfold

The article compares two open‑source AI‑native security platforms—HexStrike AI (Python) and CyberStrikeAI (Go)—detailing their multi‑agent architectures, MCP‑based tool integration, intelligent decision engines, visualization features, and role‑based testing, and provides guidance on which to choose for bug‑bounty versus enterprise red‑team use.

AICyberStrikeAIHexStrike AI

0 likes · 9 min read

AI Meets Security: Two Popular GitHub Projects Boost Penetration Testing Efficiency Tenfold

DataFunSummit

Aug 13, 2026 · Artificial Intelligence

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

The article reviews a collection of technical chapters that analyze how multi‑agent AI architectures, large‑language‑model enhancements, and generative ranking models are applied to solve high‑concurrency, multimodal, and multi‑hop challenges in modern recommendation and search systems, presenting concrete designs, performance numbers, and real‑world case studies.

AI SearchAgentic RAGGenerative Ranking

0 likes · 6 min read

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

DataFunSummit

Jul 22, 2026 · Artificial Intelligence

Designing Next‑Generation Recommendation and Search Systems with Agentic Architectures

The article analyzes how agentic architectures, large language models, and generative ranking techniques are applied to overcome high‑concurrency, multimodal, and multi‑hop challenges in modern recommendation and search systems, showcasing concrete designs, performance gains, and real‑world deployments from Alibaba Cloud, Huawei Noah, and Baidu.

AI SearchAgentic RAGGenerative Ranking

0 likes · 5 min read

Designing Next‑Generation Recommendation and Search Systems with Agentic Architectures

ITPUB

Jul 10, 2026 · Artificial Intelligence

GPT-5.6 Debuts with Codex Integration and ChatGPT Work – A Productivity Boost

OpenAI’s GPT‑5.6 launch introduces three model variants, a multi‑agent ChatGPT Work system and a cost‑focused pricing scheme that emphasizes algorithmic efficiency over raw compute, while sparking debate over token pricing, prompt complexity and the broader implications of AI‑as‑a‑Service.

AI-as-a-ServiceChatGPT WorkCost Efficiency

0 likes · 9 min read

GPT-5.6 Debuts with Codex Integration and ChatGPT Work – A Productivity Boost

DataFunSummit

Jun 11, 2026 · Artificial Intelligence

Designing Next‑Gen Recommendation and Search with Agentic Architectures

This article reviews cutting‑edge AI search and recommendation techniques—including Alibaba Cloud's Agentic RAG, Huawei Noah's LLM‑enhanced recommender, and Baidu's generative ranking model GRAB—detailing their architectures, multi‑modal retrieval strategies, performance gains, and practical deployment insights.

AI SearchAgentic RAGBaidu GRAB

0 likes · 6 min read

Designing Next‑Gen Recommendation and Search with Agentic Architectures

Alibaba International Intelligent Technology

Jun 5, 2026 · Artificial Intelligence

From Alchemist to Decision‑Maker: How Agents Redefine Algorithm Engineers’ Role

The article details a multi‑layer Research Agent system that automates the repetitive execution steps of recommendation model development, demonstrates a 17.5% HitRate@100 lift on Lazada’s generative recall pipeline, and argues that while agents excel at efficient trial‑and‑error, true creative breakthroughs still require human insight.

AI agentsLazadaMemory Management

0 likes · 23 min read

From Alchemist to Decision‑Maker: How Agents Redefine Algorithm Engineers’ Role

TechVision Expert Circle

Jun 2, 2026 · Artificial Intelligence

How to Build a System with True Self‑Decision Capability

This article details a CTO‑driven initiative to give core business systems genuine self‑decision ability by defining the concept, presenting a four‑layer architecture, and sharing concrete design choices, safety mechanisms, governance practices, and real‑world lessons learned from an e‑commerce fulfillment use case.

KafkaLLM agentsMulti-Agent Architecture

0 likes · 14 min read

How to Build a System with True Self‑Decision Capability

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

AI Engineer Programming

May 3, 2026 · Artificial Intelligence

From Single Retrieval to Autonomous Reasoning: Understanding Agentic RAG

The article analyzes why traditional Retrieval‑Augmented Generation fails on multi‑hop, vague, or multi‑source queries and explains how Agentic RAG uses an LLM‑driven agent loop to make dynamic retrieval decisions, outlining its architecture, suitable scenarios, and limitations.

AI reasoningAgentic RAGLLM agents

0 likes · 7 min read

From Single Retrieval to Autonomous Reasoning: Understanding Agentic RAG

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

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

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

Software Engineering 3.0 Era

Mar 31, 2026 · Artificial Intelligence

Inside Claude Code: Architectural Highlights and Lessons for Building AI‑Native IDEs

This article provides a deep source‑code analysis of Claude Code, revealing eight disruptive design highlights and seven actionable design insights that together form a practical roadmap for constructing next‑generation AI‑native integrated development environments.

AI‑native IDEBridge ModuleClaude Code

0 likes · 17 min read

Inside Claude Code: Architectural Highlights and Lessons for Building AI‑Native IDEs

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 managementMulti-Agent ArchitectureTask orchestration

0 likes · 16 min read

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

Alibaba International Intelligent Technology

Mar 27, 2026 · Artificial Intelligence

How AI Agents Transform International Advertising Platforms

The article analyzes the characteristics of large language models, outlines three evolution directions—interaction redesign, creative productivity, and intelligent ad operations—and details Lazada's multi‑agent architecture, design principles, workflow, and evaluation metrics for deploying AI agents that automate and optimize ad‑campaign management.

AI AgentAdvertising PlatformChatbot

0 likes · 33 min read

How AI Agents Transform International Advertising Platforms

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 agentsAgent CommunicationCLI configuration

0 likes · 12 min read

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

Amazon Cloud Developers

Feb 4, 2026 · Artificial Intelligence

From ChatBI to a Multi‑Agent Analytics Platform: A Practical Amazon‑Snowflake Architecture

The article examines why single‑agent ChatBI solutions fall short in enterprise settings and presents a three‑layer, multi‑agent architecture—interaction, orchestration, and execution—built with Amazon Quick Suite, Amazon Bedrock AgentCore, and Snowflake Cortex AI, detailing routing, synchronous/asynchronous processing, semantic modeling, and deployment recommendations.

Amazon Bedrock AgentCoreAmazon Quick SuiteData Governance

0 likes · 15 min read

From ChatBI to a Multi‑Agent Analytics Platform: A Practical Amazon‑Snowflake Architecture

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 RankingLarge Language Models

0 likes · 7 min read

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

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

Amazon Cloud Developers

Nov 13, 2025 · Artificial Intelligence

Creating Seamless Voice Banking Agents with Amazon Nova Sonic + AgentCore

The article demonstrates how to build a modular, multi‑Agent voice banking assistant using Amazon Nova Sonic as the speech interface and Amazon Bedrock AgentCore to orchestrate specialized sub‑Agents for identity verification, account queries, and mortgage assistance, while discussing design trade‑offs, tool‑call integration, and best‑practice recommendations.

AgentCoreAmazon Nova SonicMulti-Agent Architecture

0 likes · 13 min read

Creating Seamless Voice Banking Agents with Amazon Nova Sonic + AgentCore

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

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

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

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

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

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 agentsAdvertising PlatformLLM memory

0 likes · 18 min read

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