What the documents look like
For after-sales questions in Brand outlet operations, this page examines FastGPT retrieval. Distinguish fault reports, consultation guidance and visible video content in outlet aftercare retrieval. The examples are hypothetical.
Constraints at the retrieval step
A proposed outlet-support packet reports a stuck zipper, offers store consultation and acknowledges a video filename while its contents remain unseen. The question asks whether the cause is confirmed. The buyer supplies a report, the help page offers contact and a filename supplies no observed video evidence. Retrieve source type with the original complaint and full question rather than deriving diagnosis from general guidance. An earlier-season label does not establish wear or a defect. No actual inspection of this item is supplied in the proposed service material.
Configuration and implementation checks
| Material check | Conditions in this test | Implementation evidence |
|---|---|---|
| Evidence type | General consultation | Do not make current diagnosis. |
| Question strength | Reported stuck zipper | Do not make proven nonconformity. |
| Visible content | Filename, not contents | Retain unseen status. |
| Design applicability | Other-design part record | Verify identity before use. |
| Added inspection | Item and test scope | Do not expand findings. |
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, consultation guidance may become a causal finding; inspect whether candidates contain this item’s observation or generic advice. Second, optimization may turn stuck into confirmed nonconformity; compare question strength without adding established facts. Third, another design’s zipper record may be adopted; inspect design, part and source identity, with titles still supplying no video contents. These concern evidence type, inferred question meaning and applicability. Relevance scores or result counts do not establish the actual cause for the particular zipper described in the customer’s unverified report.
How to verify the setup
Ask what the buyer reports, what the help page suggests and what support actually saw, reading actual quotations. Compare semantic, full-text and hybrid results while retaining contents unseen under token limits, not video received alone. Added inspection needs this item and scope checked without extending one finding to every function or responsibility. This is a text-source exercise with no assumed video processing or repair instruction. Missing causal evidence remains unresolved; it establishes neither a fault-free product nor a solved case without the relevant actual record.
| Material context | Scope |
|---|---|
| Document types | Discount Approval, Slow-Moving Inventory List, Price Tag and Gross Profit Calculation Sheet |
| Candidate sources | ERP Inventory Age, POS Sales, Outlet Mall Activities and Historical Discounts |
| Technical baseline | FastGPT v4.17.2 |