After-sales repairs and reships: after-sales questions with retrieval

Review retrieval for after-sales questions in After-sales repairs and reships. Check input mappings, source evidence and failure handling before use.

What the documents look like

For after-sales questions in After-sales repairs and reships, this page examines FastGPT retrieval. Retrieve latch, cover plate and parcel identities without merging same-model replacement parts. The examples are hypothetical.

Constraints at the retrieval step

A proposed replacement case reports a broken latch, lists latch and cover plate separately and dispatches a cover plate. The customer asks about latch dispatch. A shared device model cannot make the other part include the latch. Retrieve component and shipment objects with literal latch, plate and full questions. The application supplies no inspected fault, while plate shipment does not establish restored use. Current latch evidence remains missing. The exercise must not merge same-model parts or extend the available dispatch passage to an unlisted component in the customer request.

Configuration and implementation checks

Material checkConditions in this testImplementation evidence
Requested partLatchDo not expand to whole set.
Dispatched objectCover plateDo not substitute for latch.
Optimized compositionSet relationship absentDo not add inclusion.
Logistics attributionCurrent request parcelInspect identity and model.
Outcome stageSending and receiptSeek separate evidence.

Documented conditions

Documented item / implementation checkCondition
Associated knowledge basesKnowledge bases associated with one search node must use the same embedding model.
Search modeSemantic, full-text and hybrid modes are available.
Citation limitCitation limits are measured in tokens.
Minimum relevanceRange 0–1; active for semantic search or reranking.
Question optimizationResolves references and expands questions.

Three common errors

First, plate dispatch may answer latch progress; compare candidate part with original identity. Second, optimization may expand latch into a complete spare set; compare objects without adding unconfirmed composition. Third, another application’s latch parcel may be adopted; inspect request, model and shipment object rather than matching the part term alone. These concern component, rewritten scope and record attribution. A common model or highly scored logistics passage does not establish dispatch for this request, and the actual needed record cannot be supplied through more similar wording.

How to verify the setup

Ask what the request concerns, how parts are separated and what was sent, expanding actual references. Compare semantic, full-text and hybrid retrieval with identical questions, retaining component names under token limits rather than dispatched alone. Added latch records need current request and parcel checked, keeping sending distinct from customer receipt. This exercise creates no replacement order, arranges no carrier and verifies no fit or actual fault. Missing evidence stays pending rather than an inferred refusal to send because the search did not return a current dispatch record.

Material contextScope
Document typesRepair Application, Reshipment Order, Inspection Report and Parts Outbound Order
Candidate sourcesAfter-Sales System, Order System, Repair Service Point and Parts Warehouse WMS
Technical baselineFastGPT v4.17.2