Refund-only disputes: product questions with retrieval

Review retrieval 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 retrieval. Compare the material received with the sources used in the answer. The examples are hypothetical.

Constraints at the retrieval step

A new refund-only application test says, “Missing accessory; specific model still required.” This is the applicant’s issue wording, without an identified accessory. Search the literal issue and a question about what product the available material establishes, preserving the missing-model qualification. An answer borrowing a product name from another application confuses the retrieval target. Compare the original application, cited record and question rather than treating related topics as the same item.

Configuration and implementation checks

Documented item or implementation checkMaterial and conditionEvidence action
Source scope (implementation check)Application, shipment wording and replacement requestInspect their different source roles.
Search modes: semantic, full-text, hybridMissing-accessory and product-identity questionsDo not borrow an object from another application.
Citation token limitMissing-model and request contextsTrimming must not remove the unresolved state.
Minimum relevanceCheck relevance under semantic search or rerankingJoint retrieval does not establish transaction linkage.
Question optimizationFollow-up about the replacement accessoryDo not convert an unknown object into a model.

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

A proposed shipment record lists a main item and accessory bag, while an appeal requests a replacement accessory. Turning the request into an established shipment event misuses the source role. Trace the three pieces of text to their actual purposes. Token limits should preserve request and application-reason contexts, beyond isolated accessory nouns. Correspondence between records still requires transaction linkage; appearing in the same candidate set does not establish that relationship.

How to verify the setup

The model, contents list and transaction-linking evidence remain absent. They cannot be derived from main item or accessory bag. For a follow-up about which replacement to use, inspect whether optimization turns an unresolved object into a specified product, recording the source of additions. After obtaining corresponding material, repeat the question and trace new citations, separating candidate changes from settings changes. Check minimum relevance only under its applicable conditions; several hits do not establish product identity or resolve the dispute.

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