Is Your Knowledge Base Actually Thinking, or Just Retrieving?
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Is Your Knowledge Base Actually Thinking, or Just Retrieving?
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Article: https://unlockedconsulting.ai/blog/knowledge-base-thinking-vs-retrieving
Embed-and-retrieve answers what a document says. Thequestions that justify the budget ask what a situationmeans, and those answers sit across documents that share novocabulary with each other or with the question. Similarityhas no way to represent the thing that connects them.What the episode covers:
- Why cosine similarity is a proxy for relevance, and the exact point where the proxy stops holding
- One real cross-source question, answered across a two-year-old support ticket, a training recording and an enhancement document
- What the second representation costs: entity extraction, entity resolution, and a schema someone who knows the domain has to define
- Why the cost difference between the two architectures is incremental while the capability difference is not
- The five-question test to run before approving any knowledge base design
For operations leaders and founders at 20-to-500-personcompanies, and for the CIOs, CTOs and heads of AI who needevidence for their own board or stage.Two synthetic voices, generated with NotebookLM from anarticle written and reviewed by Helkyn Coello, founder ofUnlocked Consulting.
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