General export declarations: product questions with retrieval

Review retrieval for product questions in General export declarations. Check document scope, failure paths and source evidence through controlled tests.

What the documents look like

For product questions in General export declarations, 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 export invoice test can state, “Display-rack components, delivered disassembled.” This supports a product designation and delivery form. The rack noun alone does not establish an assembled finished item. Inspect candidates for components and disassembled, then compare the three search modes using the complete document-form question. Keep both qualifications attached to the product. This reading test does not assign a classification code or make a customs-declaration decision from retrieval.

Configuration and implementation checks

Documented item or implementation checkMaterial and conditionEvidence action
Source scope (implementation check)Inspect overall form separately from packed sub-itemsThe two records do not supply an assembly list.
Search modes: semantic, full-text, hybridComponents, disassembled and the complete form questionCompare qualifying wording across retrieval modes.
Citation token limitKeep the disassembled condition attached to the rackTrimming must not leave only the product name.
Minimum relevanceInspect filtering under semantic search or rerankingA score is not a document-classification conclusion.
Question optimizationFollow-up about delivery formRetain components without assuming assembly.

Documented conditions

Documented item / implementation checkCondition
Associated knowledge basesKnowledge bases associated with one search node must use the same embedding model.
Search modeSemantic, full-text and hybrid modes are available.
Citation limitCitation limits are measured in tokens.
Minimum relevanceRange 0–1; active for semantic search or reranking.
Question optimizationResolves references and expands questions.

Three common errors

A proposed packing list separately lists an accessory bag. Inspect the level described by each document: the invoice states the overall form, while the list identifies a packed sub-item. These statements need not contradict each other and do not supply a complete assembly list. Retain original wording and file identity, checking whether a returned passage is a product description or packaging entry. Record any token-limit omission that leaves only the rack name without its disassembled condition.

How to verify the setup

Component dimensions and manufacturing details were not supplied. Neither the rack nor accessory-bag name provides those parameters. Until corresponding technical material is obtained, preserve the missing sources without expanding them into established specifications. Repeat the question after supplementation and trace the added originals and citations. Optimization should retain components and disassembled. Check relevance under its applicable conditions, without replacing examination of document scope with a score or snippet count.

Material contextScope
Document typesExport Declaration Form, Commercial Invoice, Packing List and Contract
Candidate sourcesChina International Trade Single Window, Customs Code Database, Freight Forwarder Bill of Lading and Enterprise ERP
Technical baselineFastGPT v4.17.2