What the documents look like
For after-sales questions in Convenience fresh-food orders, this page examines FastGPT retrieval. Retrieve product labels and display-sign handling as different fresh-food aftercare subjects. The examples are hypothetical.
Constraints at the retrieval step
A proposed fresh-food case has a buyer reporting an unclear sandwich label, a store record reprinting a display price sign and a shift note leaving the product label unresolved. The question concerns handling the product label. Retrieve label-versus-sign and product-versus-display identities with their actions. Reprinting cannot migrate to the label supplied with the goods. Compare literal label, price-sign and full questions to inspect nearby wording. These texts do not establish the product’s condition or completion of label correction, and the complaint alone does not establish food saleability.
Configuration and implementation checks
| Material check | Conditions in this test | Implementation evidence |
|---|---|---|
| Concern subject | Product label | Do not expand to product quality. |
| Reprinted subject | Display price sign | Do not transfer to label. |
| Optimization strength | Unclear label only | Compare questions. |
| Pending adoption | Product-label-pending sentence | Inspect reference and output. |
| Added handling source | Current label record | Inspect identity and stage. |
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, a display reprint may replace product-label evidence; inspect candidate type and action subject. Second, optimization may expand unclear label into a defective product; compare both questions with the original concern and retain its limited scope. Third, pending wording may enter candidates but disappear from the answer; compare actual references with output rather than equating retrieval with handled work. These concern document subject, question strength and evidence adoption. Changing modes or raising relevance creates no current handling record that the material does not contain.
How to verify the setup
Ask what the buyer describes, what the store reprinted and what remains pending, expanding returned originals. Compare semantic, full-text and hybrid retrieval on the same questions. A relevant sign passage supplies no completion evidence. Under token limits, inspect the whole product-label-pending sentence. Added current-label records need their subject checked before repeating, changing only supported stages. This exercise decides no product quality or disposition and performs no printing. Failure to retrieve an outcome record does not determine whether handling occurred; search scope and actual source records still require investigation.
| Material context | Scope |
|---|---|
| Document types | Fresh Food Order Form, Spoilage Report, Near-Expiry Processing Sheet and Temperature Records |
| Candidate sources | POS Sales, Headquarters Ordering System, Store Inventory and Cold Chain Temperature Control Records |
| Technical baseline | FastGPT v4.17.2 |