Karya SearchCosine similarity isn't relevance. Karya finds what matters.
going from fuzzy to clear…
ready for linkedin, x or the group chat.
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Why search is broken
Similarity is not relevance.
Keyword search finds the words you typed.
Semantic search finds what sounds the same.
Neither finds what changes the answer.
Relevance must be discovered at runtime.
Relevant doesn't mean similar. Relevant means capable of changing understanding, action or outcome.
"Why did Acme cancel?"
semantic search
- Acme renewal.docx
- Acme QBR deck
- Churn playbook
Similar. Not relevant.
karya
- Support escalationmarch
- Export promised by salesjanuary
- Export moved to Q4april
Relevant. The whole story.
Search like diffusion. Go from fuzzy to clear.
Documents shouldn't materialise first. Relevance should.
Discover globally.
Reconstruct locally.
Compile only what matters.
Context isn't a thing you store.
More context isn't better context.
A bigger window isn't a better answer.
Context is compiled, not stored.
The least context needed. Everything relevant. Models reason. Karya decides what they reason about.
Search that learns
Every search makes the next search better.
You shouldn't need to know the answer before you start searching.
The query itself changes what is relevant.
Karya discovers the query it should have asked.
The search process itself becomes memory. Over time, Karya learns how your organisation should be searched.