Apr 21, 2026 · Industry Insights

How AI Search & Recommendation Systems Beat Multi-Modal, High-Concurrency Hurdles

This article reviews cutting‑edge technical practices from Alibaba Cloud AI Search, Huawei Noah's recommendation platform, and Baidu's GRAB model, detailing how multi‑agent RAG architectures, large‑language‑model enhancements, and generative ranking overcome high‑concurrency, multi‑modal data, and feature‑engineering bottlenecks.

AI searchGenerative RankingLarge Language Models

0 likes · 6 min read

How AI Search & Recommendation Systems Beat Multi-Modal, High-Concurrency Hurdles

DataFunTalk

Jun 10, 2025 · Databases

Why Multi‑Modal Databases Are the Future Backbone of AI Workflows

This article analyzes the emerging trends in data infrastructure for AI, compares leading cloud‑native databases like Neon, Supabase and ClickHouse, explains why PostgreSQL has become the de‑facto standard, and introduces Data Warebase—a unified multi‑modal database designed to meet the five core requirements of modern AI workloads.

AIData WarebaseHTAP

0 likes · 32 min read

Why Multi‑Modal Databases Are the Future Backbone of AI Workflows