Chunking
Chunking breaks content into smaller pieces so it can be indexed or retrieved more easily.
Category
These words describe how applications store facts, search them, and keep them current.
Terms for search, indexing, and freshness.
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.
Chunking breaks content into smaller pieces so it can be indexed or retrieved more easily.
An embedding is a numeric representation that lets a model compare meaning across items.
A vector store is a database for saving and searching embeddings.
A reranker is a model that reorders retrieved results by relevance before they are shown to a user or agent.