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DataFunSummit
DataFunSummit
May 17, 2026 · Industry Insights

From Single‑point Copilot to Platform‑level Agentic: Real Challenges and Future Paths for Data Platforms

A 90‑minute live discussion with data experts from vivo and YangQianGuan reveals that moving from a simple Copilot assistant to a platform‑level Agentic data system requires fundamental architectural changes, new infrastructure for memory, planning, tool orchestration, security guardrails, knowledge management, robust evaluation, and a clear ROI strategy.

AI GovernanceAgenticBig Data
0 likes · 19 min read
From Single‑point Copilot to Platform‑level Agentic: Real Challenges and Future Paths for Data Platforms
AI Engineer Programming
AI Engineer Programming
May 1, 2026 · Artificial Intelligence

From Naive Retrieval to Knowledge Runtime: The Full Evolution of RAG

The article traces the evolution of Retrieval‑Augmented Generation from its 2020 Naive baseline through Advanced, Modular, Graph, and Agentic generations, detailing architectural shifts, optimization techniques, self‑correction mechanisms, and future challenges such as long‑context handling and multimodal retrieval.

AgenticLLMRAG
0 likes · 14 min read
From Naive Retrieval to Knowledge Runtime: The Full Evolution of RAG
Java Tech Enthusiast
Java Tech Enthusiast
Apr 11, 2026 · Artificial Intelligence

Spring AI Alibaba vs AgentScope-Java: Which AI Framework Fits Your Needs?

This article compares Spring AI Alibaba and AgentScope-Java, explaining their distinct design philosophies, workflow versus agentic paradigms, core capabilities, architecture layers, code examples, and practical selection guidance, while also discussing emerging fusion trends that combine the strengths of both frameworks.

AI DevelopmentAgentScopeAgentic
0 likes · 15 min read
Spring AI Alibaba vs AgentScope-Java: Which AI Framework Fits Your Needs?
Code Ape Tech Column
Code Ape Tech Column
Apr 9, 2026 · Artificial Intelligence

Spring AI Alibaba vs AgentScope-Java: Which AI Framework Fits Your Java Projects?

This article compares Spring AI Alibaba and AgentScope-Java, examining their distinct design philosophies—graph‑based workflow versus agentic autonomy—core architectures, key capabilities, code examples, and practical selection guidance, while also highlighting the emerging trend of merging both approaches for optimal Java AI development.

AI FrameworkAgentScopeAgentic
0 likes · 14 min read
Spring AI Alibaba vs AgentScope-Java: Which AI Framework Fits Your Java Projects?
Su San Talks Tech
Su San Talks Tech
Apr 9, 2026 · Artificial Intelligence

Spring AI Alibaba vs AgentScope-Java: Which AI Framework Wins for Java Developers?

This article compares Alibaba's Spring AI Alibaba and the AgentScope-Java framework, examining their design philosophies, workflow versus agentic paradigms, core capabilities, architecture, code styles, and suitable use cases, and offers guidance on selecting the right solution or combining both for optimal Java AI development.

AI FrameworkAgentScopeAgentic
0 likes · 16 min read
Spring AI Alibaba vs AgentScope-Java: Which AI Framework Wins for Java Developers?
DataFunSummit
DataFunSummit
Jul 7, 2025 · Artificial Intelligence

How AI Native Apps Are Transforming Enterprise: From Generative to Agentic AI

With the rapid evolution from Generative AI to Agentic AI, enterprises face both opportunities and challenges in building AI‑Native applications; this article examines the shift in AI development models, outlines key technical hurdles, and presents architectural and tooling strategies—including Chat BI, LangStudio, and multi‑modal data pipelines—to guide successful AI integration.

AIAgenticChatBI
0 likes · 19 min read
How AI Native Apps Are Transforming Enterprise: From Generative to Agentic AI
21CTO
21CTO
Apr 20, 2025 · Artificial Intelligence

How Agentic IDEs Are Turning Code Editors into Autonomous AI Partners

The article explores the evolution of integrated development environments into agentic IDEs that can reason, remember context, set goals, and act autonomously, highlighting their core modules, current implementations, potential team impacts, and the challenges of trust, security, and developer reliance.

AIAgenticIDE
0 likes · 10 min read
How Agentic IDEs Are Turning Code Editors into Autonomous AI Partners
Architect
Architect
Mar 31, 2025 · Artificial Intelligence

A Comprehensive Study of Failure Modes in Large‑Language‑Model Based Multi‑Agent Systems

This paper presents a systematic investigation of failure patterns in LLM‑driven multi‑agent systems, introducing a 14‑type taxonomy (MASFT) derived from over 150 annotated dialogues, evaluating it with an LLM‑as‑a‑judge pipeline, and exploring modest intervention strategies while releasing all data and tools for future research.

AIAgenticLLM
0 likes · 29 min read
A Comprehensive Study of Failure Modes in Large‑Language‑Model Based Multi‑Agent Systems
Cognitive Technology Team
Cognitive Technology Team
Mar 4, 2025 · Artificial Intelligence

Deep Searcher: An Open‑Source Agentic RAG Framework for Enterprise‑Level Search and Knowledge Retrieval

The article introduces Deep Searcher, an open‑source Agentic Retrieval‑Augmented Generation system that combines large language models, Milvus vector databases, and multi‑step reasoning to deliver enterprise‑grade search, reporting, and complex query capabilities, and compares its performance against traditional RAG and Graph RAG approaches.

AgenticEnterprise searchLLM
0 likes · 18 min read
Deep Searcher: An Open‑Source Agentic RAG Framework for Enterprise‑Level Search and Knowledge Retrieval
AI Large Model Application Practice
AI Large Model Application Practice
Mar 3, 2025 · Artificial Intelligence

Can DeepSeek‑R1 Unlock True “Deep Thinking” for Enterprise RAG?

This article examines how swapping in DeepSeek‑R1 enhances Retrieval‑Augmented Generation with deeper reasoning, outlines its benefits and pitfalls—including slower inference, higher compute costs, and hallucinations—provides a simple hallucination test, and proposes an Agentic RAG research assistant to balance accuracy and creativity.

AI reasoningAgenticDeepSeek
0 likes · 10 min read
Can DeepSeek‑R1 Unlock True “Deep Thinking” for Enterprise RAG?