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Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Nov 19, 2025 · Artificial Intelligence

How to Build a Reliable Dynamic Incremental RAG Pipeline for Real‑Time Data

This article explains why dynamic incremental RAG is harder than static RAG, identifies the three main points where recall accuracy breaks, and presents a three‑stage engineering pipeline—including a quality‑control layer, two‑stage retrieval, and reference‑injection generation—to keep real‑time data retrieval both accurate and robust.

AIDynamic DataQuality Control
0 likes · 13 min read
How to Build a Reliable Dynamic Incremental RAG Pipeline for Real‑Time Data
Java Backend Technology
Java Backend Technology
May 14, 2019 · Backend Development

Why Traditional PageSize/PageIndex Pagination Breaks with Dynamic Data—and How to Fix It

This article examines the pitfalls of using static pageSize and pageIndex parameters for pagination on rapidly changing data sets, illustrates how data shifts can cause duplicate or missing records, and proposes client‑side de‑duplication, server‑side last‑ID pagination, and business‑level tolerance strategies.

Dynamic DataPaginationapi-design
0 likes · 6 min read
Why Traditional PageSize/PageIndex Pagination Breaks with Dynamic Data—and How to Fix It
JD Tech
JD Tech
Mar 21, 2018 · Frontend Development

Dynamic Real‑Time Data Updates and Multi‑Scenario Personalization for Mini‑Program Frontends

This article describes how front‑end engineers solved dynamic real‑time operational data updates and multi‑scenario personalization for a mini‑program by leveraging a configuration system, web‑view integration, and lightweight JSON data structures, enabling rapid feature rollout with minimal backend effort.

ConfigurationDynamic Datafrontend
0 likes · 7 min read
Dynamic Real‑Time Data Updates and Multi‑Scenario Personalization for Mini‑Program Frontends