What the documents look like
For product questions in TikTok Shop US operations, this page examines FastGPT hybrid retrieval. Compare the material received with the sources used in the answer. The examples are hypothetical.
Constraints at the hybrid retrieval step
The TikTok Shop seasonal-attribute example states only “summer-limited edition” in the proposed Listing attachment. Mark that wording as a required candidate, inspect its presence after fusion and then check whether reranking favours a generic seasonal description from another item. The question can identify the product and seasonal attribute, without expanding into unsupported sales regions, temperatures or performance. This reading test concerns the label actually supplied in the attachment.
Configuration and implementation checks
| Item or implementation check | Input or applicable condition | Traceable check |
|---|---|---|
| Fused candidates | Summer designation and two material descriptions | Separate seasonal candidates from material candidates. |
| Complete question | Which source states cotton and which states a blend | Retain both descriptions in the reranking question. |
| Minimum relevance | Applies to semantic retrieval or reranking | Filtering does not replace composition and version checks. |
| Citation token limit | Original wording from Listing and Grading sources | Inspect whether one material description is omitted. |
| Missing-source retest | No evidence of conformity with the regional environmental standard | Related wording does not establish a certification source. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Hybrid retrieval | Vector and full-text results use RRF fusion. |
| Reranking | Reranking reorders candidates using the full question. |
Minimum relevance | Filtering applies to semantic search or reranking. |
Citation limit | Citation content is limited by tokens. |
Question optimization | Compare subjects and restrictions after optimization. |
Three common errors
“Pure cotton” appears in the Listing and “cotton-linen blend” in the Return Grading evidence. Preserve the identity behind each material description. Before reranking, check that candidates include both sides; then inspect ordering and citation limits for the omission of either. Source type and rank do not establish which document is the final standard. Actual composition and applicable version need evidence, and output must not combine both descriptions into a newly invented composition list. Also retain the version behind each material description, beyond the material terms alone. If correspondence to the same variant has not been established, the answer can report the source difference without selecting either description as the actual composition.
How to verify the setup
No supporting record has been supplied for conformity with a regional environmental standard. Basic product information does not fill that gap. Inspect whether environmental wording is merely a nearby match without the required source. After adding applicable evidence, check recall, reranking and the final citation to that record separately. Validate minimum relevance under semantic or reranking conditions; an increased score does not establish that a product has obtained certification.
| 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 |