General export declarations: procurement with vector indexes

Review vector indexes for procurement in General export declarations. Check document scope, failure paths and source evidence through controlled tests.

What the documents look like

For procurement in General export declarations, this page examines FastGPT vector indexes. Check indexes against distinct material, finish and supplier-introduction evidence. The examples are hypothetical.

Constraints at the vector indexes step

A proposed export-procurement packet describes an iron base, a copper-like appearance and a supplier accepting metal-product enquiries. A draft index says a copper base is confirmed for supply. The question asks whether the material is copper. Appearance establishes no substrate and a business introduction establishes no current supply; the material source states iron. Multiple question-oriented indexes may describe a block, but should retain its actual attributes. Borrowing finish and introduction wording cannot expand it into copper material plus a transaction commitment or establish any export qualification from the product description.

Configuration and implementation checks

Original-data/index checkSpecific subject relationshipAcceptance action
Substrate factIronIndex must not override.
Color attributeCopper-likeDo not make it copper material.
Introduction actionAccept enquiriesDo not make it order confirmation.
Older material pageSeparate copper baseInspect version and linked block.
Retest wordingColor and substrateInspect actual returns.

Documented conditions

Documented item / implementation checkCondition
Embedding modelKnowledge bases associated with one search node must use the same embedding model.
Original data and indexesOne original data block can have multiple indexes.
Index contentIndex wording should be complete and focused.
Image indexesWhere image retrieval is used, inspect descriptions or image vectors.
Version and result checkAfter a change, reuse questions to compare originals.

Three common errors

First, copper-colored may become copper-made in the index; compare finish and substrate sources and inspect whether linked text retains iron. Second, accepting enquiries may become confirmed supply; inspect introduction role and current confirmation instead of treating general business wording as an order. Third, an index may target an older copper-base source while being treated as current; compare name, material and version. These concern attribute meaning, supply state and source identity. High relevance establishes no material fact, and an added index sentence cannot override the original data it claims to represent.

How to verify the setup

Ask about substrate, appearance and supplier wording separately, inspecting each actual reference with its index. After changes, repeat natural questions about color and material without guaranteeing exact distinction; actual returns must demonstrate what was retrieved. Appearance-only material leaves substrate unresolved, and failure to return evidence proves no false supplier statement. These are text tests without image or physical identification. Model and index changes still require source comparison, promise no procurement effect and replace no actual specification or supply confirmation for the intended current item.

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