See how Semantic Search
finds the right context.
Semantic Search utilises a variety of methods to search your documents— exact phrase matching,
keyword ranking, and semantic (meaning-based) retrieval — then scores every passage
so the most relevant context rises to the top. Drag and drop a search below to watch the
pipeline run and explore the matches.
What's actually happening?
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1
Your query is prepared — processed so it can be matched both by keywords and by meaning.
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2
Multiple methods run — exact, keyword, and semantic search sweep across every chunk of every document in the project.
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3
Passages are scored & ranked — each matching chunk gets a relevance score so the strongest context surfaces first.
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4
Sources & snippets are shown — transparency is key, so you see exactly which file and passage matched, and how well.