What the documents look like
For after-sales questions in Dealer ordering events, this page examines FastGPT retrieval. Retrieve sample sizes, confirmed-order rows and arrival observations by their actual subjects. The examples are hypothetical.
Constraints at the retrieval step
A proposed dealer aftercare packet labels a display garment medium, leaves final-order sizing for confirmation and asks whether the received goods are also medium. No arrival label or inspection is supplied. Retrieve sample and order identities with the full receiving question. Sample size does not cover production goods merely through the same product name. Pending final sizing does not establish misdelivery. Compare sample-medium, final-size and complete questions to inspect which actual candidates support each subject rather than treating all sizing material as current delivery evidence.
Configuration and implementation checks
| Material check | Conditions in this test | Implementation evidence |
|---|---|---|
| Sample identity | Medium display garment | Do not make arrival observation. |
| Order row | Final size pending | Retain state. |
| Optimization target | Received size | Do not replace with catalogue choices. |
| Source event | Current-event order row | Exclude other events. |
| Added observation | Transaction and item scope | Do not expand to whole batch. |
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, sample size may become an arrival fact; inspect candidate object and current delivery correspondence. Second, optimization may replace received size with available sample sizes; compare question targets rather than narrowing to an easier catalogue query. Third, another event’s confirmed order may be adopted; inspect event, item and order row rather than transferring through design or dealer names. These concern evidence object, question task and source event. Scores or several size documents cannot combine into a physical observation absent from the actual current packet.
How to verify the setup
Ask what the sample labels, what the final row lacks and where arrival evidence is, inspecting actual citations. Compare semantic, full-text and hybrid results using identical questions with sample and pending qualifiers retained under token limits. Added labels or observations need transaction and item checked, updating only observed scope rather than an entire batch. This exercise decides no return conditions and executes no replenishment. Missing arrival records remain unresolved; they establish neither a mistaken customer nor a fault-free current delivery from related sample information.
| Material context | Scope |
|---|---|
| Document types | Ordering Manual, Ordering Contract, Sample List and Credit Approval |
| Candidate sources | Ordering Fair System, Historical Sales, Dealer Inventory and Financial Credit Granting |
| Technical baseline | FastGPT v4.17.2 |