What the documents look like
For after-sales questions in Supermarket supplier accounts, this page examines FastGPT retrieval. Separate carton identifiers, inner product codes and physical correspondence in supplier aftercare. The examples are hypothetical.
Constraints at the retrieval step
A proposed supplier case asks whether different packaging identification and product wording mean wrong goods. A note identifies the carton code as a grouped-package marker and refers inner product codes to another page. Neither that page nor current physical inspection is supplied. Retrieve packaging level with the full question. A grouped identifier and item description are not automatically comparable fields, and different wording alone does not establish misdelivery. Compare carton, product-code and full questions to identify missing correspondence rather than inventing the identity of actual goods from the proposed label excerpts.
Configuration and implementation checks
| Material check | Conditions in this test | Implementation evidence |
|---|---|---|
| Field level | Grouped carton identifier | Do not make actual product. |
| Inner source | Separate page unread | Do not invent contents. |
| Question inference | Different wording does not establish an error | Inspect optimization strength. |
| Applicable batch | Current product and batch | Inspect actual reference. |
| Physical gap | No current inspection | Do not decide misdelivery. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Associated knowledge bases | Knowledge bases associated with one search node must use the same embedding model. |
Search mode | Semantic, full-text and hybrid modes are available. |
Citation limit | Citation limits are measured in tokens. |
Minimum relevance | Range 0–1; active for semantic search or reranking. |
Question optimization | Resolves references and expands questions. |
Three common errors
First, carton wording may prove inner goods correct; inspect candidate packaging scope because a label purpose replaces no observation. Second, optimization may turn different into nonconforming product; compare question strength without promoting an unresolved relationship to a known error. Third, another product’s inner-code page may be used here; inspect product, batch and original identity. These concern evidence scope, question inference and source correspondence. Similar identifiers, relevance scores or complete-looking titles cannot determine a real wrong-goods outcome for a batch absent from the actual supplied evidence.
How to verify the setup
Ask what the carton marker does, whether the inner source exists in input and which physical evidence is missing, expanding actual references. Compare semantic, full-text and hybrid results on identical questions with grouped and separately attached retained under token limits. Added inner pages need product and batch matched before checking actual delivery to answering; upload is no comparison result. This exercise inspects no goods, changes no codes and settles no accounts. Missing pages remain unresolved, proving neither wrong goods nor an absent inner product identifier.
| 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 |