What this category of data looks like
This category of data comes from daily business documents of skincare, haircare, makeup, and special cosmetics manufacturers, including formula work orders, weighing and feeding records, emulsification and filling records, cleaning and sanitization records, semi-finished and finished product inspection reports, and label review documents. Data sources cover registered or filed formulas, raw material safety materials, production equipment logs, ERP/MES systems, laboratory test results, and packaging material version documents. Updates occur per production batch or each line change. Documents include fields including raw material name, batch number, operation parameters, test results, and filing number, with no additional custom units.
What constraints these characteristics impose on the citation sources and traceability link
High-frequency updates per production batch or each line change require the citation sources and traceability system to quickly match the latest batch data, to avoid citing expired formula or packaging material information. Multi-source business data must uniformly align core fields such as filing numbers, raw material batches, and production batch numbers to ensure accurate citation associations between different documents. Content subject to filing constraints such as formulas and labels must be strictly linked to official registered and filed documents, and cannot rely solely on internal business records. Semi-structured data from sensory and stability tests must be clearly linked to the operation records of the corresponding production batch to ensure a complete traceability chain.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Matches the average length of single-batch cosmetics production documents, fully covers core content such as formula processes and inspection records |
responseData | Return only filing numbers, raw material batches, production batch numbers | Focuses on core associated fields required for traceability, reduces matching interference from non-essential data |
detail | Enabled | Allows return of complete document fragments for verifying consistency between formulas and filings |
| Single search limit | Top 5 results | Matches the number of associated documents per production batch, avoids redundant results affecting retrieval efficiency |
| Retrieval matching threshold | Calibrated based on actual testing | Adapts to retrieval rules for strongly matched fields such as filing numbers and batch numbers in cosmetics manufacturing |
This configuration is based on FastGPT v4.17.0
Three common mistakes
- Phenomenon: When selecting variable references during the knowledge base search phase, there are no optional fields such as filing numbers and production batch numbers. Cause: Core fields such as production batches and filing numbers are not mapped to referenceable variables, or associated data source nodes are not configured.
- Phenomenon: The error "Cannot redefine property: toString" is thrown in the production environment. Cause: The toString method is repeatedly defined in custom logic, which conflicts with the system's built-in citation traceability processing logic.
- Phenomenon: Cleaning records or formula documents from non-current production batches are retrieved in search results. Cause: No retrieval conditions filtered by production batch number or filing number are added, resulting in association with expired historical data.
How to confirm the configuration is correct
- Initiate a traceability search for the current production batch, check whether the returned results include the corresponding batch's formula work order and inspection records.
- View the variable reference dropdown list, confirm that core fields such as filing numbers and production batch numbers appear as optional variables.
- Simulate a call to custom logic, check that errors of the type "Cannot redefine property: toString" are not thrown.
- Compare search results with actual production documents, confirm that only valid documents from the current batch or associated filings are retrieved.
The values provided are common starting points and should be measured against the reader's own samples.