Refund-only disputes: multilingual work with vector indexes

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

What the documents look like

For multilingual work in Refund-only disputes, this page examines FastGPT vector indexes. Refund-material indexes must distinguish receipt of a request, formal acceptance and refund execution. The examples are hypothetical.

Constraints at the vector indexes step

Proposed refund materials record a request received with specialist checking pending. The English summary says request received, review pending; no transaction page is supplied. A completion question needs evidence beyond receipt of the written concern. Received refers to the message, not formal acceptance for processing or execution of a refund. Index wording may describe receipt and pending review but must not report acceptance or repayment. Inspect who received what in the original instead of filling another action’s result because the document title mentions refunds.

Configuration and implementation checks

Material checkConditions in this testImplementation evidence
Receipt actionReceived written concernDo not report formal acceptance.
Review stagePendingPreserve unresolved work.
Execution evidenceTransaction for this issueInvent no repayment.
Issue identitySeparate issues within orderCheck original identity.
Business inferenceRefund differs from fulfilmentDo not infer non-fulfilment.

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, an index may read received as formal acceptance; inspect actor and recorded action and require separate acceptance evidence, preserving receipt versus acceptance. Second, loss of pending may produce refunded; compare original and answer and seek an execution record rather than supply one. Third, different issues under the same order may be joined; inspect this concern’s identity and original text instead of constructing a single handling chain from a shared order. These concern stage wording, execution evidence and issue identity. A refund also cannot establish that the original order was never fulfilled.

How to verify the setup

Ask separately about receipt, review stage and refund execution, tracing actual originals returned for each question. Multiple indexes for one registration still support receipt only, without becoming evidence for several stages. Check embedding-model conditions for associated bases within the same retrieval node. This exercise queries no real transaction and processes no refund. Failure to retrieve an execution record does not establish that repayment did not occur. A received concern also establishes no policy eligibility. Add independent evidence for this issue before extending the answer beyond the stage currently documented.

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