Franchise store supervision: product questions with document chunking

Review document chunking for product questions in Franchise store supervision. Check input mappings, source evidence and failure handling before use.

What the documents look like

For product questions in Franchise store supervision, this page examines FastGPT document chunking. Shelf-position examples and sale-specification lists need separate source identities. The examples are hypothetical.

Constraints at the document chunking step

A proposed convenience-store display example places a small package on an upper shelf, under a heading that says positions only. A separate reference sends saleable specifications to the current product booklet, which is absent. A question about small and large packs needs this example role preserved: an illustrated placement does not establish current saleable sizes. Parsing should retain example identity and the referenced source. Chunking must not assign the position sentence to booklet contents or treat an unseen large pack as evidence that the format is not sold.

Configuration and implementation checks

Original or chunk checkSpecific source relationshipEvidence action
Example identityPositions onlyCheck heading limitation survives.
Illustrated subjectSmall package on upper shelfDo not treat as saleable list.
Referenced sourceCurrent booklet absentRetain missing-text requirement.
Format questionPack sizes and current-period scopeCheck answer does not expand example.
Added-booklet retestPeriod, processing and indexesCompare actual new citations.

Documented conditions

Documented item / implementation checkCondition
Original-document checkCompare original files with parsed output.
Chunk completenessKeep conditions traceable to their subjects.
Data and indexesRetain original-data and index evidence separately.
Sample retrievalRetest literal wording and natural questions.
Post-update checkInspect training or index state after updates.

Three common errors

One failure separates positions only and the answer presents the small pack as confirmed on sale. Another merges the booklet reference with the example so the product list appears already supplied. Compare heading, document identity and actual block boundaries to distinguish lost limitations from source substitution. Search wording for pack specifications still needs real specification text. Without the booklet, multiple example hits do not become a saleable-item list, and more matching passages cannot replace the missing source or establish the scope of the current period.

How to verify the setup

Acceptance should query upper shelf, small package, saleable specification and the complete current-formats question. Returned blocks should distinguish example from reference. The answer may explain packaging used in the position example while leaving actual current formats dependent on the booklet. After obtaining it, inspect applicable period, actual processing and index state before testing whether new citations use that source. Successful upload does not establish matched periods or removal of the earlier example as a list substitute. Preserve original-to-parsed comparisons and check continued expansion of the example scope.

Material contextScope
Document typesStore Visit Report, Franchise Contract, Rectification Notice and Display Standards
Candidate sourcesSupervisor APP, POS Sales, Franchise System and Store Photos
Technical baselineFastGPT v4.17.2