What the documents look like
For product questions in Amazon FBM fulfillment, 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 proposed FBM picking-list example gives “forest green” and “enlarged three-person version” for a camping tent. Colour and size questions should trace those phrases to that item. Compare candidates for literal attributes and a complete product question, then inspect whether reranking preserves the association. This is a reading of self-drafted picking text: “three-person” does not supply load-bearing or usage results, and the size wording should not migrate into an answer about another version.
Configuration and implementation checks
| Item or implementation check | Input or applicable condition | Traceable check |
|---|---|---|
| Fused candidates | Camping tent in forest green and enlarged three-person version | Keep product, colour and size associated. |
| Complete question | Coffee-machine identifiers X-zero-zero-one and X-zero-zero-two | Do not merge identifiers as synonyms. |
| Minimum relevance | Inspect filtering under semantic search or reranking | Interpret order after confirming both candidates exist. |
| Citation token limit | Model identifier and its file identity | Trace any omitted alternative identifier. |
| Missing-source retest | Picking list lacks watch battery-life information | Do not borrow a duration from another model. |
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
The portable coffee machine is identified as X-zero-zero-one on the picking list and X-zero-zero-two on shipment confirmation. Check that candidates contain both identifiers before inspecting order and final citations. They are not interchangeable synonyms. Documented order identity and versions are needed to interpret the difference. A ranking model can change the order of existing candidates without deciding that an actual incorrect shipment took place. Preserve each literal model identifier with its file identity, without automatically standardizing the identifiers in the answer. Identify the linking material still needed as well. This separates a recorded wording difference from an assertion about what was actually shipped to the customer.
How to verify the setup
The picking attachment provides no smartwatch battery-life information. Use that question to inspect whether the answer borrows a duration from another product. A highly ranked watch-name passage still supplies no battery-life evidence. After obtaining the corresponding specification, repeat the question and inspect candidate inclusion, filtering under the applicable conditions and complete citation of the new passage. Similar model names or score changes do not establish that battery life was verified.
| Material context | Scope |
|---|---|
| Document types | Order Picking List, Shipment Confirmation, Return Address Settings and Logistics Tracking Sheet |
| Candidate sources | Amazon Seller Central, Carrier System, ERP Orders and Customer Service Email |
| Technical baseline | FastGPT v4.17.2 |