Tencent Proposes RARG for Agentic Search

Tencent introduced RARG, a novel approach that redefines the role of relevance in Agentic Search. By transforming relevance scores from simple top-k retrieval signals into execution priors, RARG effectively guides agents during interactive searches in large corpora.

2026-07-28 ~ 2026-07-30 · 3 related posts

• Tencent’s RARG guides agentic search with relevance scores instead of top-k only — _reachsumit · 2026-07-28
• Tencent’s RARG turns relevance into a search prior for agentic corpus browsing — tencent · 2026-07-29
• Paper: RARG Uses Relevance as an Execution Prior in Agentic Search — _akhaliq · 2026-07-30