AnalysisAI AgentsOctober 16, 2026

Librarian Agents train LLMs to build filesystems for RAG

Read original source →arxiv.org

Reinforcement learning trains builder agents to reorganize document corpora into reusable hierarchical workspaces, lifting subsequent RAG accuracy from 44% to 77%. The work amortizes curation costs across queries and was supported by the Tinker grants program.

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