chunk concept
| Definition | A piece of a document, the unit a retrieval pipeline encodes and indexes. Chunking is a discrete stage with no Jacobian. Chapter 12. |
|---|---|
| Example | A 3000-word document cut into 500-word pieces yields six chunks, each encoded on its own. |
| Book | Data Mining as Observation, draft 0.2, commit f3914f0; entry id chunk, kind concept. |
| Status | no ledger row names this entry. Corrections: none recorded. |
| Defining equation | none |
| Assumptions and scope |
|
| Prior art | none recorded |
| Evidence | lean/DataMiningAsObservation/Pipeline.lean |
| Reviewed | not yet reviewed; generated 2026-09-10 from records at the commits on the provenance page. |
Equation
none
Conditions
- A piece of a document, the unit a retrieval pipeline encodes and indexes. Chunking is a discrete stage with no Jacobian, and a stage that identifies two inputs identifies them for every stage after it, so what a chunker merges no later stage can separate.
- A chunk’s vector is read by the index against a query vector, and the probe depth, cell, and cross-article share of the candidates are properties of the chunks and the query set together.
Conditions are curated in entries.toml rather than read
from a record.
Ledger
none
First stated
Chapter 12 section 12.2 of Data Mining as Observation, with
the pullback composition in
geometric-observation/chapters/ch06_mathematical_preliminaries.md:10-27.
Measurements
none
Failures and corrections
none
Invariance envelope
none declared
Machine checked
lean/DataMiningAsObservation/Pipeline.lean,
theorems quotient_inherited,
quotient_inherited_chain, rank_comp_le_first,
rank_comp_le_second, at observation-data-mining f3914f0;
what the check covers is stated in the book’s appendix
C.
Used in
Data Mining as Observation chapters 0, 12.
Related
retrieval-augmented pipeline; Jacobian; encoder; inverted file.
See also
Book equations stated beside the entry’s terms, not defining it: 12.3, 0.36.
Ledger rows that cite the entry’s records without naming it: GO-B-legal (035→036).
Sources-table rows that share a record with the entry without naming it: chapter 2 section 2.2, chapter 11 section 11.4, chapter 12 section 12.2.
Status
Generated 2026-09-10 by encyclopedia/generate.py; book
at observation-data-mining f3914f0; the commit of every record is listed
in the encyclopedia’s provenance.