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Data Thinking Notes
Data Thinking Notes
Sep 21, 2025 · Artificial Intelligence

From RAG to DeepSearch & DeepResearch: How AI Is Mastering Knowledge Retrieval

Amid the rapid rise of generative AI, this article examines the limitations of large language models and explains how Retrieval‑Augmented Generation (RAG), followed by the advanced paradigms DeepSearch and DeepResearch, progressively enhance knowledge handling through dynamic retrieval, multi‑agent reasoning, and autonomous research capabilities.

AI Knowledge ManagementDeepResearchDeepSearch
0 likes · 16 min read
From RAG to DeepSearch & DeepResearch: How AI Is Mastering Knowledge Retrieval
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 20, 2025 · Artificial Intelligence

How DeepSearch Elevates RAG: From RAG 1.0 to a Multi‑Agent AI Search Engine

This article explains how Alibaba Cloud OpenSearch LLM version evolved from RAG 1.0 to RAG 2.0, introducing the DeepSearch multi‑agent architecture that combines offline data processing, online query handling, planning, clarification, search, and summarization agents to deliver more accurate and complex AI‑driven answers.

AI SearchDeepSearchLLM
0 likes · 10 min read
How DeepSearch Elevates RAG: From RAG 1.0 to a Multi‑Agent AI Search Engine
Tencent Cloud Developer
Tencent Cloud Developer
Jul 23, 2025 · Artificial Intelligence

Why Retrieval‑Augmented Generation Is Evolving Into Agentic AI Search

This article explains how the inherent knowledge limits of large language models drive the rise of Retrieval‑Augmented Generation (RAG), outlines its three evolutionary stages, introduces Agentic RAG and DeepSearch, and discusses the knowledge and ability boundaries that shape future AI search systems.

AI SearchDeepSearchKnowledge retrieval
0 likes · 19 min read
Why Retrieval‑Augmented Generation Is Evolving Into Agentic AI Search
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 23, 2025 · Artificial Intelligence

Why Future AI Agents Must Evolve Beyond Prompt‑Driven Workflows

The article argues that the next generation of AI agents should focus on improving the model itself through reinforcement learning and reasoning rather than relying on pre‑designed prompt‑driven workflows, highlighting industry trends, technical challenges, and the shift toward treating models as products.

DeepSearchLLMmodel as product
0 likes · 29 min read
Why Future AI Agents Must Evolve Beyond Prompt‑Driven Workflows
AI Algorithm Path
AI Algorithm Path
Feb 22, 2025 · Artificial Intelligence

10 Fascinating Facts About Elon Musk’s Grok 3 Model

The article outlines ten notable facts about Elon Musk’s Grok 3 model, covering its four variants, free web access, performance benchmarks surpassing OpenAI’s o3 and GPT‑4o, the Colossus supercomputer hardware, chatbot arena victory, rapid development, DeepSearch research tool, and the new iOS app.

AI modelBenchmarkDeepSearch
0 likes · 7 min read
10 Fascinating Facts About Elon Musk’s Grok 3 Model
Java Tech Enthusiast
Java Tech Enthusiast
Feb 19, 2025 · Artificial Intelligence

xAI's Grok 3 Model: Benchmarks, Reasoning, and Industry Reactions

Elon Musk’s xAI introduced the Grok 3 family—trained on roughly 200,000 GPUs and offered in standard, mini and Reasoning versions—that claims top‑slot performance on math, science and coding benchmarks, outpacing Google Gemini, DeepSeek V3, Claude and OpenAI GPT‑4o, while pricing starts at $30 per month and drawing both praise for its speed and criticism for lingering hallucinations and ethical sensitivities.

AIBenchmarkDeepSearch
0 likes · 16 min read
xAI's Grok 3 Model: Benchmarks, Reasoning, and Industry Reactions