Definition
The systematic normalization and removal of redundant characters (spaces, tabs, newlines) during the document ingestion phase to optimize token count and embedding accuracy. Precise whitespace handling prevents 'noise' in the vector space and ensures that structural markers, such as paragraph breaks, are correctly interpreted by chunking algorithms without wasting the LLM's context window.
Not about CSS/UI layout; it is about preprocessing raw text to prevent token inflation and semantic distortion in vector databases.
"A trash compactor that removes the air between packed items to fit more contents into a single shipping crate without losing the items themselves."
- Tokenization(Prerequisite)
- Chunking Strategy(Component)
- Data Cleansing(Prerequisite)
- Context Window(Constraint)
Conceptual Overview
The systematic normalization and removal of redundant characters (spaces, tabs, newlines) during the document ingestion phase to optimize token count and embedding accuracy. Precise whitespace handling prevents 'noise' in the vector space and ensures that structural markers, such as paragraph breaks, are correctly interpreted by chunking algorithms without wasting the LLM's context window.
Disambiguation
Not about CSS/UI layout; it is about preprocessing raw text to prevent token inflation and semantic distortion in vector databases.
Visual Analog
A trash compactor that removes the air between packed items to fit more contents into a single shipping crate without losing the items themselves.