What the documents look like
For procurement in TikTok Shop US operations, this page examines FastGPT vector indexes. Index display props, sale goods and contact roles against their actual source identities. The examples are hypothetical.
Constraints at the vector indexes step
A proposed TikTok Shop procurement packet lists an empty display shell not sold as a finished item, describes a separately listed replacement insert and names a shooting contact. A draft index combines them into buying a complete cup from a supplier. The question concerns a complete cup, but the shell supplies no finished goods, a contact role establishes no supply identity and the insert needs composition confirmation. Trace proposed index meanings to their actual blocks rather than combining a shared filming project into a supplier commitment or treating contact information as transaction evidence.
Configuration and implementation checks
| Original-data/index check | Specific subject relationship | Acceptance action |
|---|---|---|
| Prop attributes | Empty shell not finished item | Inspect index additions. |
| Part composition | Insert listed separately | Do not assemble a full set by inference. |
| Contact role | Filming contact | Do not make it supplier identity. |
| Old complete-cup page | Version needs checking | Inspect actual linked block. |
| Actual returns | Three item questions | Compare with originals. |
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, indexing a display shell may add a complete cup; inspect prop attributes and linked block while retaining the not-for-sale scope. Second, shooting contact may become supplier; compare role wording with actual transaction sources, since contact details establish no supply identity. Third, an older complete-cup source may become linked to the current insert; check composition and source version rather than transferring through similar appearance. These concern object, role and version correspondence. Several indexes sharing cup terminology do not establish a single item or valid current supply source.
How to verify the setup
Ask separately about shell, insert and complete cup, comparing returned originals and retaining index-to-block identity with adopted quotations. Prop-list-only results leave finished-goods supply unresolved without proving impossibility or refusal. Added confirmation still needs complete composition and party checked. These are ordinary text fixtures; a prop photo’s existence establishes no image-ingestion path. After model or index changes, repeat the same questions through actual references, promising no retrieval improvement. The exercise performs no purchase and verifies no real supplier qualification or supply outcome beyond the proposed document relationships.
| Material context | Scope |
|---|---|
| Document types | Product Listing, Return and Refund Records, Return Grading Evidence and Settlement Bill |
| Candidate sources | TikTok Shop Seller Center, Order Center, Carrier Tracking and Advertising Report |
| Technical baseline | FastGPT v4.17.2 |