Refund-only disputes: product questions with vector indexes

Review vector indexes for product questions in Refund-only disputes. Check document scope, failure paths and source evidence through controlled tests.

What the documents look like

For product questions in Refund-only disputes, this page examines FastGPT vector indexes. A requester fragrance preference cannot become an attribute of the sold item. The examples are hypothetical.

Constraints at the vector indexes step

A proposed refund-related product packet contains a request for a fragrance-free version, an order saying cleaning product with fragrance in a separate detail and an aftersales note saying concern received. A question about this order fragrance needs preference, purchased subject and receipt acknowledgement kept separate. An entry turning wants fragrance-free into fragrance-free product would add a sold attribute absent from the original. Shared product naming or a received concern cannot connect these sources into a specification, and the detail needed for the actual order remains unprovided.

Configuration and implementation checks

Original-data/index checkSpecific subject relationshipAcceptance action
Preference identityFragrance-free wantedDo not turn into sold attribute.
Order subjectFragrance separately detailedCheck this order correspondence.
Receipt acknowledgementConcern receivedDoes not establish acceptance for processing or specifications.
Cross-order targetAnother order detail may be usedCheck transaction identity.
Repeated evidenceSeveral fragrance-free entriesCheck whether they repeat one preference.

Documented conditions

Documented item / implementation checkCondition
Embedding modelKnowledge bases associated with one search node must use the same embedding model.
Original data and indexesOne original data block can have multiple indexes.
Index contentIndex wording should be complete and focused.
Image indexesWhere image retrieval is used, inspect descriptions or image vectors.
Version and result checkAfter a change, reuse questions to compare originals.

Three common errors

First, a preference may be indexed as the order fragrance; inspect its applicable detail. Second, a fragrance question may target only the received-concern note; inspect whether it contains a product attribute or merely acknowledges receipt. Receipt does not establish acceptance for processing and cannot replace product details. Third, a similarly named entry may adopt fragrance-free detail from another order; inspect transaction and detail identity. These require attribute evidence, source type and order correspondence respectively. Receipt of a concern does not verify the assertion, while an absent detail establishes neither scented nor fragrance-free status for this specific purchased item.

How to verify the setup

Acceptance should ask what the requester wants, what the order states and whether fragrance evidence is supplied, tracing each entry to its wording. The demand and received concern can be described while actual fragrance remains unresolved, without presenting an inspection result. After detail is added, inspect processing and index state before comparing same-question citations so the older preference no longer stands in for specifications. Several entries containing fragrance-free may repeat one preference passage; they cannot be counted as independent product evidence simply because the same term appears in multiple routes.

Material contextScope
Document typesRefund-Only Application, Proof of Shipment, Proof of Receipt and Appeal Materials
Candidate sourcesPlatform After-Sales Backend, Carrier Tracking, Customer Service Chat and Warehouse Outbound Records
Technical baselineFastGPT v4.17.2