What the documents look like
For product questions in Certificates of origin, 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 certificate-of-origin source test can describe wooden decorative components in an invoice and disassembled delivery with a separately listed base in a packing record. Inspect candidates for components, disassembled and base terms, then compare retrieval modes with the complete contents question. The wording offers reading evidence without establishing a complete finished item. This example does not perform product classification or determine origin.
Configuration and implementation checks
| Documented item or implementation check | Material and condition | Evidence action |
|---|---|---|
| Source scope (implementation check) | Inspect product form separately from location information | Do not turn shipment point into production place. |
| Search modes: semantic, full-text, hybrid | Component, disassembled and contents question | Inspect originals returned by each mode. |
| Citation token limit | Separately listed and production-location blank | Retain contents qualifications and missing status. |
| Minimum relevance | Inspect filtering under semantic or reranking conditions | Relevant candidates do not establish certificate eligibility. |
| Question optimization | Follow-up about production place | Ensure optimization does not substitute shipment point. |
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 application note says, “Port A is the shipment point; production location is blank.” An answer converting shipment point into production location mixes source fields. Retain the note beside returned wording and trace the added statement. Token limits must also preserve the blank state, beyond an isolated location name. Product description, packing form and application location have different uses. Shared retrieval does not make them substitutes for evidence of the same attribute. A third error reads an unfilled production-place field as a negative origin finding. Seek applicable origin material and distinguish a blank field from an explicit denial. Shipping location and product naming cannot provide that separate evidence.
How to verify the setup
Production-source information and full product specifications remain absent; preserve both gaps separately. For a follow-up about where the item was produced, inspect whether optimization treats shipment point as an established production place. An added location without source support should not be adopted. After obtaining corresponding material, repeat the question and inspect new candidates and citations, recording supplementation separately from settings changes. Check minimum relevance only where applicable, without interpreting scores as verified product attributes or application eligibility.
| Material context | Scope |
|---|---|
| Document types | Certificate of Origin Application, Commercial Invoice, Packing List and Production Cost Data |
| Candidate sources | China International Trade Single Window, CCPIT System, Enterprise Production Records and Customer Customs Clearance Requirements |
| Technical baseline | FastGPT v4.17.2 |