What the documents look like
For product questions in Amazon FBA preparation, 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 FBA inbound-plan test says, “Foldable storage box; supplied to the warehouse in flat form.” Product-name and delivery-form questions need the same subject and qualification. Mark foldable and flat as required terms, then compare the originals returned by each mode for the complete question. A matching box name supplies neither assembled dimensions nor evidence of actual warehouse receipt; the test reads only the proposed plan wording.
Configuration and implementation checks
| Documented item or implementation check | Material and condition | Evidence action |
|---|---|---|
| Source scope (implementation check) | Separate inbound plan and label note | Distinguish delivery form from display context. |
| Search modes: semantic, full-text, hybrid | Foldable, flat and the complete form question | Inspect qualifications returned by each mode. |
| Citation token limit | Flat-form inbound condition | Distinguish candidate omission from citation trimming. |
| Minimum relevance | Check relevance under semantic search or reranking | A similar name does not supply dimensions. |
| Question optimization | Follow-up about inbound form | Do not switch to an assembled-product question. |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Associated knowledge bases | Knowledge bases associated with one search node must use the same embedding model. |
Search mode | Semantic, full-text and hybrid modes are available. |
Citation limit | Citation limits are measured in tokens. |
Minimum relevance | Range 0–1; active for semantic search or reranking. |
Question optimization | Resolves references and expands questions. |
Three common errors
A proposed carton-label note says “assembled-view illustration,” without an actual image. An answer treating it as a requirement for assembled delivery has confused display context and delivery form. Trace the plan and label separately. Also inspect citations reduced to box or illustration terms that omit the flat-form condition. Preserve full sentences and returned passages to distinguish a condition absent from candidates from one removed by token trimming before choosing the stage to adjust.
How to verify the setup
No folded dimensions were supplied, so flat cannot be converted into length and width. If output includes dimensions, inspect whether its citation belongs to another item instead of accepting a similar name. After obtaining the corresponding specification, repeat the question and record source additions separately from settings changes. Optimization must retain the inbound-form target, without changing it into an assembled-product question. Check minimum relevance under semantic or reranking conditions; a relevance score does not establish dimension evidence.
| Material context | Scope |
|---|---|
| Document types | FBA Inbound Plan, Carton Label, Inventory Report and Compensation Application |
| Candidate sources | Amazon Seller Central, FBA Inventory Report, Freight Forwarder Tracking and ERP Purchase Order |
| Technical baseline | FastGPT v4.17.2 |