General import declarations: product questions with retrieval

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

What the documents look like

For product questions in General import 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 import invoice test can say, “Test unit; retail packaging excluded.” Retrieval needs the unit subject and packaging exclusion together. Matching the packaging words alone does not establish inclusion. Inspect candidates for the literal phrase, then compare semantic, full-text and hybrid search with a complete packaging-scope question. “Test unit” is proposed source wording, without establishing actual use or an admission or exemption outcome.

Configuration and implementation checks

Documented item or implementation checkMaterial and conditionEvidence action
Source scope (implementation check)Separate invoice and transit-packaging sourcesA transit box does not supply retail-packaging contents.
Search modes: semantic, full-text, hybridOriginal exclusion and complete packaging questionCompare the statements retrieved by the three modes.
Citation token limitRetail-packaging exclusionInspect any exclusion lost in trimming.
Minimum relevanceInspect filtering under semantic search or rerankingInvestigate source scope and recall for empty results.
Question optimizationDevice-interface follow-upDo not invent an unsupplied interface type.

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 records a protective transit box. If a query presents it as retail packaging, two source roles have been mixed. Retain the invoice sentence, packing entry and actual citation together. Also inspect whether citation trimming removed the exclusion: an isolated packaging noun can change the apparent answer. Several hits may repeat one transit record without providing sales-packaging evidence, so coverage needs examination beyond the number of snippets returned.

How to verify the setup

A device-interface compatibility follow-up lacks support in the unit name and transit box. If optimization adds an interface type absent from the original, it changes the question’s evidence scope; retain both question versions for comparison. After obtaining the corresponding specification, repeat the question and trace new citations. Minimum relevance applies to semantic search or reranking. An empty result still needs a source-scope and recall check, rather than a conclusion that no specification exists or the product is incompatible.

Material contextScope
Document typesImport Declaration Form, Commercial Invoice, Packing List, Bill of Lading and Contract
Candidate sourcesInternational Trade Single Window, Customs Tariff, Freight Forwarder Arrival Notice and Foreign Exchange Payment Slip
Technical baselineFastGPT v4.17.2