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DeWu Technology
DeWu Technology
Apr 15, 2026 · Industry Insights

How Generative AI is Transforming Recommendation: A Deep Dive into DeWu’s Recall System

This article analyzes DeWu's generative recall system, detailing its background, technical design of the Generative and Rerank models, inference workflow, experimental gains in core consumption and diversity metrics, and future engineering directions such as framework migration, LLM integration, and multimodal generation.

Generative AIScaling Lawdeep learning
0 likes · 12 min read
How Generative AI is Transforming Recommendation: A Deep Dive into DeWu’s Recall System
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Apr 7, 2026 · Artificial Intelligence

Why Hybrid Retrieval Beats Pure Vector Search: BM25, RRF, and Real‑World Experiments

This article dissects the shortcomings of pure vector retrieval, explains how BM25 complements it, compares weighted‑sum and Reciprocal Rank Fusion (RRF) strategies, shows experimental results that identify optimal weight and k values, and provides practical engineering tips for deploying hybrid search in RAG systems.

BM25Hybrid RetrievalParameter Tuning
0 likes · 24 min read
Why Hybrid Retrieval Beats Pure Vector Search: BM25, RRF, and Real‑World Experiments
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Apr 2, 2026 · Artificial Intelligence

How Smart Chunk Splitting Boosts RAG Recall from 67% to 91%

This article examines the critical role of chunk splitting in Retrieval‑Augmented Generation systems, comparing three generations of methods—from fixed‑size token cuts to sentence‑aware and semantic‑aware strategies—showing how refined chunking, overlap tuning, and metadata design raise Recall@5 from 0.67 to 0.91 while addressing table, list, and long‑section challenges.

ChunkingInformation RetrievalLLM
0 likes · 24 min read
How Smart Chunk Splitting Boosts RAG Recall from 67% to 91%