ResearchOctober 07, 2026
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RECAST Beats RAG by 16 Points
RECAST: New framework for adaptive evidence construction in LLMs.
#RAG#LLM#Evidence Routing#GRPO#AI

🔥 What happened
Google researchers dropped RECAST: a router model that doesn't just retrieve evidence — it computes it. A 9B RouterLM plans sequential filter, aggregation, and code operations instead of relying on fixed similarity search.
💡 Why it matters
Classic RAG fails when the answer isn't in any single source but must be derived. RECAST hits 75.6% success, beating the strongest baseline by 15.9 points — with only 9B parameters.
⚡ Our take
RAG is yesterday's news. Anyone still betting on vector search in 2026 will lose to routers that compute instead of guess.
The title, summary and analysis of this item were produced automatically by an AI system and have not been editorially reviewed. They may contain errors, bias or omissions — when in doubt, read the linked original source.
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