Definition
The systematic process of partitioning long-form documents into smaller, discrete segments—known as chunks—to optimize vector embedding precision and comply with the token limits of Large Language Model (LLM) context windows. This process involves a critical trade-off: smaller chunks improve retrieval precision but may lose necessary context, while larger chunks preserve context at the risk of introducing 'noise' or exceeding hardware constraints.
Not simple string tokenization; it is the structural decomposition of data for semantic retrieval.
"Slicing a long baguette into uniform rounds so each piece can fit into a standard toaster slot while remaining edible."
- Chunk Size(Component)
- Chunk Overlap(Component)
- Vector Embedding(Prerequisite)
- Recursive Character Splitting(Component)
Conceptual Overview
The systematic process of partitioning long-form documents into smaller, discrete segments—known as chunks—to optimize vector embedding precision and comply with the token limits of Large Language Model (LLM) context windows. This process involves a critical trade-off: smaller chunks improve retrieval precision but may lose necessary context, while larger chunks preserve context at the risk of introducing 'noise' or exceeding hardware constraints.
Disambiguation
Not simple string tokenization; it is the structural decomposition of data for semantic retrieval.
Visual Analog
Slicing a long baguette into uniform rounds so each piece can fit into a standard toaster slot while remaining edible.