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# AI agents are making retrieval engineering a core engineering discipline

**[The New Stack](https://daily.dev/sources/newstack)** · 3 min read · 2 upvotes · 0 comments

## Summary

Retrieval engineering is framed as a rising discipline distinct from prompt or model engineering, driven by the shift from chatbots to autonomous AI agents that act without human review at each step. The piece argues that as vector search and embeddings become commoditized, competitive advantage moves to decisioning—determining what evidence an agent sees and in what order before acting. It lists engineering challenges like combining structured, unstructured, and behavioral signals, real-time relevance, and optimizing for business outcomes rather than similarity scores, referencing a GigaOm Decision Brief and sponsored by Vespa.ai.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/ai-agents-retrieval-engineering>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search)

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