What the Data for This Category Looks Like
Typical data for this category includes bath solution analysis records, process parameter cards, fixture records, film thickness and adhesion reports, hazardous waste ledgers, and wastewater monitoring records. Data sources include customer surface treatment specifications, bath solution test results, real-time rectifier data, online water quality monitoring records, and hazardous waste management ledgers. Updates follow production cycles: bath solution parameters are recorded after each batch treatment, rectifier data is calibrated per shift, and wastewater and hazardous waste ledgers are updated per monitoring requirements. Fields include bath number, test date, metal ion concentration, current density, average film thickness, workpiece batch number, and others, with corresponding units such as g/L, A, μm, and more.
What Constraints These Characteristics Impose on the "Source Citation and Traceability" Link
Data sources are scattered across on-site equipment, paper and electronic ledgers. Batch number association must be established to enable precise traceability and avoid cross-batch data confusion. Update frequency changes with production cycles, so near-real-time indexing and incremental updates must be supported; scheduled full synchronization cannot be relied upon. Multiple types of documents and multi-unit fields require the traceability system to support compatibility with different formats and unit matching, ensuring consistency of cited data. Audits need to cover multi-dimensional data; citation from a single data source cannot meet the requirements of a complete quality audit, so multi-data source associated queries must be supported.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Electroplating traceability documents usually contain multiple sets of batch-associated data. This value can cover 3 to 8 complete records, meet the full citation requirements for audits, and adapt to the context limit of FastGPT v4.17.0 |
responseData | Enable fully associated data sources | Supplier audits need to reference multiple types of information such as bath solution tests, rectifier data, and hazardous waste ledgers. Enabling full association can cover all necessary traceability fields |
detail | Enable batch association details | Electroplating audits need to match the batch correspondence between workpieces, fixtures, and bath solutions. Enabling details can display the associated nodes and time information of each cited data |
| Single search limit | Top 10 entries | On-site data is stored by production batch. The top 10 entries can cover complete records from the last 3 to 5 production cycles, avoiding redundant data interfering with audit logic |
| Maximum context | 15000 characters | After splicing multiple documents, the complete batch association logic must be retained. This value can accommodate 2 to 3 complete bath solution analysis and process parameter records |
Three Common Mistakes
- Phenomenon: After calling the audit interface, the returned citation results only include partial bath solution parameters, missing fixture numbers and batch association information. Cause: The
quoteMaxTokenvalue is too small to cover complete batch-associated data. - Phenomenon: Unable to properly import and reference fixture record documents stored in Notion. Cause: Data source import rules that support external links are not configured, and only local document uploads are allowed, which corresponds to a common community data source compatibility issue.
- Phenomenon: The cited documents do not match the current audit batch, and cross-batch historical production data appears. Cause: Retrieval and filtering rules for batch number keywords are not configured, and general keyword matching alone leads to data confusion.
How to Confirm the Configuration Is Correct
- Upload a complete bath solution analysis record and fixture record, initiate a supplier audit request, and check whether the citation results include all key content from both documents.
- View the detail fields of each cited data, confirm whether traceability-necessary information such as batch number and test date is included.
- Import a hazardous waste ledger document in Notion format, initiate a query request, and confirm that it can be properly indexed and return associated citations.
- Adjust the value of
quoteMaxToken, observe the change in the content length of the citation results, and confirm that the configuration item takes effect.
The values provided are common starting points and should be measured against the reader's own samples.