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DataFunSummit
DataFunSummit
Jun 12, 2025 · Artificial Intelligence

How Alibaba Cloud’s AI Search Evolves with Agentic RAG and Multi‑Model Innovations

This article details Alibaba Cloud AI Search’s development journey, covering its dual product lines, the evolution of Agentic RAG technology, multi‑agent architectures, vector retrieval breakthroughs, GPU‑accelerated indexing, NL2SQL capabilities, deployment models, and future directions for AI‑driven search solutions.

AI SearchGPU AccelerationLarge Models
0 likes · 33 min read
How Alibaba Cloud’s AI Search Evolves with Agentic RAG and Multi‑Model Innovations
Zhihu Tech Column
Zhihu Tech Column
Jan 17, 2025 · Artificial Intelligence

Zhihu Direct Answer: Product Overview and Technical Practices

This article summarizes the key technical insights from Zhihu Direct Answer, an AI-powered search product, covering its product overview, RAG framework, query understanding, retrieval strategies, chunking, reranking, generation techniques, evaluation methods, and engineering optimizations for cost and performance.

AI SearchChunkingEngineering Optimization
0 likes · 13 min read
Zhihu Direct Answer: Product Overview and Technical Practices
iQIYI Technical Product Team
iQIYI Technical Product Team
Sep 26, 2024 · Artificial Intelligence

AI-Powered Search in iQIYI: Techniques, Architecture, and Implementation

iQIYI’s AI‑powered search expands beyond title‑only queries by handling fuzzy role, plot, star, award, and semantic searches, using Chain‑of‑Thought‑generated TIPS, Retrieval‑Augmented Generation with sophisticated indexing, chunking, embedding, reranking, and prompt‑engineering to deliver personalized, accurate video recommendations that boost user engagement.

AI SearchChain-of-ThoughtQuery Guidance
0 likes · 15 min read
AI-Powered Search in iQIYI: Techniques, Architecture, and Implementation
ByteDance Web Infra
ByteDance Web Infra
Jun 16, 2023 · Artificial Intelligence

How AIGC Transforms Document Search: Architecture, Techniques, and Future Directions

This article explains how AI‑generated content (AIGC) reshapes document search by combining traditional indexing with modern embedding and prompt‑tuning techniques, reviews key components such as LangChain and Supabase, compares existing AI‑search products, and discusses the future blend of classic and AI‑driven search.

AI SearchAIGCLangChain
0 likes · 15 min read
How AIGC Transforms Document Search: Architecture, Techniques, and Future Directions
Architects Research Society
Architects Research Society
Sep 2, 2021 · Artificial Intelligence

Top 5 Enterprise Search and Unstructured Data Trends Powered by AI

The article outlines how AI‑driven search technologies—including neural networks, semantic search, document understanding, image/voice search, and knowledge graphs—are transforming the handling of the 80% of enterprise data that is unstructured, enabling richer insights and actionable answers.

AI SearchSemantic Searchenterprise AI
0 likes · 12 min read
Top 5 Enterprise Search and Unstructured Data Trends Powered by AI