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@albasosa · Jun 28, 2026 · 0:11

Citable layer — this is what AI reads

What it offers

RAG is not a product: what to build around retrieval

Who it's for

Teams bolting RAG onto products expecting magic

Problem it solves

Retrieval alone disappoints users who expected reasoning and answers

#ai-tools#rag#productsVoice only
Full transcription (creator-provided)

Every second AI startup right now is a RAG wrapper with a chat box, and most of them feel empty to users. Here is why. Retrieval gives you relevant chunks. Users want answers. The gap between those two is where products live or die. What separates the good ones: query rewriting so retrieval matches intent instead of keywords, source attribution so answers are verifiable, and structured output so results integrate into workflows instead of ending conversations. The chat box is not the product. The chat box is the debug interface for the product. Design what happens after the answer: save it, share it, schedule it, compare it. Retrieval is a component. Wrap it in workflow or watch users churn after their third underwhelming query.

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