Chunking is the process of grouping segments into logical chunks. Our segmentation models can produce a hierarchy of segments, and we can use that to create chunks.

The exact strategy varies based on end-application and use-case, but generally the goal is to put together segments in a way that maintains the context of the information.

We offer an intelligent chunking algorithm but you can also turn it off to receive individual segments to handle chunking yourself.

​
Configuration

You can configure intelligent chunking by setting the target_chunk_length parameter. This is the approximate number of words a chunk can contain.

​
Intelligent Chunking

The chunking algorithm works as follows:

  1. Remove headers and footers
  2. Add segments to a chunk until we hit a breaking condition, or if the chunk length >= target_chunk_length.

​
Breaking Conditions

We go down the segment hierarchy (from Title -> Section header -> Other). Once we hit a segment_type that is higher in the hierarchy than the current segment type, we break the chunk.

​
Turning it off

Setting target_chunk_length to 0 will turn off intelligent chunking, and each chunk will contain a single segment. Click here to learn more about the chunk model.

ModelOCR Strategy