The Structural Problem with Enterprise Agents
AI Engineer · youtube · 2026-07-20
This talk argues that the root cause of enterprise agent failures is often not an inability to write SQL or call tools, but a lack of understanding of the business semantics behind enterprise data. Simply lengthening prompts, piling on RAG, or upgrading to larger models cannot fundamentally solve this problem.
The proposed direction is to build a semantic retrieval infrastructure: a machine-readable metadata layer that allows agents to reason directly around business concepts rather than guessing at raw schemas. Specific implementations include semantic retrieval, metadata graphs, and domain-specific sub-agents.
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