What the documents look like
For multilingual work in Temu semi-managed sellers, this page examines FastGPT vector indexes. Cross-language sample-carton indexes need display scope and pending bulk packing without added supply facts. The examples are hypothetical.
Constraints at the vector indexes step
Proposed Temu materials describe a carton for showing its folding structure, with production packing awaiting separate confirmation. The English page calls it a sample carton for fold display, with production packing pending. A question about bulk packing has display evidence but no adopted production plan. Queries such as production carton or bulk packaging can examine indexes mapped to the original data, but index wording must not change pending into adopted. Related bilingual topics establish neither a supply decision nor that an actual production-packing source has been ingested.
Configuration and implementation checks
| Material check | Conditions in this test | Implementation evidence |
|---|---|---|
| Sample scope | Structure display only | Inspect bulk-attribute expansion. |
| Packing state | Pending confirmation | Do not report adoption. |
| Index object | Its original data | Check version mapping. |
| Hit count | May share one original | Do not count independent plans. |
| Same-node bases | If multiple are linked | Check the same embedding model. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Embedding model | Knowledge bases associated with one search node must use the same embedding model. |
Original data and indexes | One original data block can have multiple indexes. |
Index content | Index wording should be complete and focused. |
Image indexes | Where image retrieval is used, inspect descriptions or image vectors. |
Version and result check | After a change, reuse questions to compare originals. |
Three common errors
First, an index may present production packing as settled; trace English pending and the Chinese separate-confirmation condition and inspect the added result. Second, fold display may become an attribute of every package; inspect sample scope and the complete source instead of extending a display object to bulk goods. Third, bilingual indexes may point to different page versions; trace each original-data identity and revision note rather than merge evidence because retrieval titles match. These concern stage, attribute scope and data mapping, requiring the original supporting text for each adopted claim.
How to verify the setup
Retain the question, returned index and original-data relationship, checking that the answer leaves bulk packing pending. Multiple indexes for one original do not constitute independent plans. Knowledge bases linked to the same retrieval node need the same embedding model; this condition does not extend to the entire workflow. This exercise confirms no real packing choice or supply effect. Failure to retrieve a plan does not establish that none exists in the business. Add the relevant production source and verify its batch and version before deciding what the answer can support.
| Material context | Scope |
|---|---|
| Document types | Product Declaration Form, Overseas Inventory Sheet, Price Declaration and Platform Fulfillment Order |
| Candidate sources | Temu Seller Center, Overseas Warehouse WMS, Logistics Tracking and Procurement Cost Sheet |
| Technical baseline | FastGPT v4.17.2 |