What the documents look like
For product questions in Supermarket supplier accounts, this page examines FastGPT document chunking. Separate measured item, packaging notes and store-side work in supplier product tables. The examples are hypothetical.
Constraints at the document chunking step
A proposed supplier table heads its item column product body and lists a single glass cup, while the packaging column groups cups in cartons. A footnote leaves store labels to separate printing and excludes them from shipment. The question asks about a grouped product with printed labels included. Parsing needs the item, carton and store work distinguished. Horizontal cells cannot become one specification, and carton grouping changes no sale unit by itself. No current transaction quantity or acceptance result is supplied, so table layout must not create either business fact.
Configuration and implementation checks
| Material check | Conditions in this test | Implementation evidence |
|---|---|---|
| Measured subject | Single product | Do not merge carton grouping. |
| Packaging column | Carton level | Inspect parsed column. |
| Footnote work | Store prints labels | Do not make included finished labels. |
| Earlier-page identity | Other printed packaging | Inspect version and subject. |
| Actual transaction | Quantity and outcomes absent | Do not invent execution facts. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Original-document check | Compare original files with parsed output. |
Chunk completeness | Keep conditions traceable to their subjects. |
Data and indexes | Retain original-data and index evidence separately. |
Sample retrieval | Retest literal wording and natural questions. |
Post-update check | Inspect training or index state after updates. |
Three common errors
First, product and packaging columns may merge; compare headings, parsed columns and blocks for the objects of single and grouped. Second, the label exclusion may detach; inspect product and store attribution rather than converting separate printing into included labels. Third, an older printed-packaging page may answer the current question; check version, label subject and actual reference instead of joining through the cup name. These concern column relationships, footnote action and source identity. Related excerpts establish neither a complete set nor executed printing absent from the current list.
How to verify the setup
Ask about the product unit, carton organization and who handles labels, retaining original-to-text-to-reference mapping. After chunk changes, repeat single-cup, grouped-carton and natural inclusion questions for preserved levels. A missing footnote needs original text recovered before indexing. Added packaging pages require current item, processing and actual-citation checks; upload is no adoption evidence. This exercise decides no procurement quantity and performs no printing or acceptance. It establishes no actual delivery under a particular arrangement, which requires independent applicable records beyond the proposed supplier table and its parsed structure.
| Material context | Scope |
|---|---|
| Document types | Procurement Contract, Delivery Acceptance Slip, Rebate Agreement and Reconciliation Statement |
| Candidate sources | ERP Procurement, Supplier Portal, POS Sales and Financial System |
| Technical baseline | FastGPT v4.17.2 |