Semantic Search
Semantic search finds text by meaning or intent instead of matching only exact keywords.
Category
These terms describe how systems turn documents into searchable chunks, match meaning, and refine results.
Words you see when text is searched, split, and ranked.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Semantic search finds text by meaning or intent instead of matching only exact keywords.
A document chunk is a smaller passage split from a larger document so it can be embedded and retrieved.
A cross encoder scores a query and document together to produce a more precise ranking signal.
Query expansion adds related words or concepts to a search query so retrieval can cover more relevant text.