Burkov: Fragmented Enterprise Knowledge Breaks RAG — A Replication Agent Approach
burkov · x · 2026-10-16
ML researcher Andriy Burkov argues enterprise environments differ fundamentally from clean research settings: knowledge is scattered across spreadsheets, databases, docs, emails, and chats—incomplete, inconsistent, or wrong—with critical procedural steps implicit rather than documented.
This matters for tasks like financial account reconciliation, where analysts must verify systems agree despite expected differences. Retrieval-based approaches fall short because they can't reconstruct a complete procedure from partial, noisy evidence. The article proposes and evaluates a replication-style agent approach to address this gap.
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