What Data for This Category Looks Like
This category serves rubber product manufacturers, including those producing tires, seals, hoses, and similar items. Daily generated documents include formula sheets, weighing records, mixing curves, rubber quick test reports, vulcanization process cards, mold records, and finished product performance reports. Data sources include formula management systems, raw material batch ledgers, internal mixers, Mooney viscometers, vulcanizers, and laboratory testing equipment. Update frequency aligns with each raw material batch, each rubber batch mixing run, and each product mold production run. Document fields include feeding ratio, internal mixer temperature, vulcanization time, batch number, and similar items. Units include degrees Celsius, minutes, batch numbers, and similar items.
Constraints Imposed by These Characteristics on the "Quote Source and Traceability" Link
High-frequency updated batch and mold run data requires traceability to accurately bind single-batch, single-mold-run original collection information, and avoid vague references. Differentiated field structures across multiple document types require targeted recall and display rules configured per document type, to ensure quoted content matches the Q&A scenario. Dispersed data sources across multiple devices and systems require the traceability link to associate original device identifiers and collection times, to ensure data can be traced back to production workflows. Severe production error consequences further require traceability information to be complete and verifiable, and cannot rely solely on text fragments.
Configuration Guidelines
This configuration is based on FastGPT v4.17.0. Specific details are listed in the table below:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | The text length of a single mixing curve or vulcanization process card mostly ranges from 500–1000 token, and core parameters must be fully retained |
responseData | Return original document ID, production batch number, collection timestamp | Quoted content must be bound to specific production batches and device collection data |
detail | Enabled | Core fields of quoted documents must be displayed, such as vulcanization temperature and mixing duration |
| Single search limit | Top 6 entries | A single process Q&A needs to cover associated documents for the full mixing and vulcanization workflow |
| Maximum context | 3000–4000 characters | Adapt to the total length of multiple associated documents, and avoid context overflow |
| Reranking | Calibrated based on actual measurements | Must prioritize recalling mixing and vulcanization documents with the highest match to the current question |
Three Common Misconfigurations
- Symptom: The quote source field in the response only displays text fragments, without attaching the original document's batch number or device information. Cause: The
responseDataitem is not configured to return associated metadata. - Symptom: Context truncation or timeout errors occur after the response is generated. Cause: The
quoteMaxTokensetting is too small, unable to fully load multiple associated mixing and vulcanization documents. - Symptom: Locally uploaded formula sheets or mixing curve files cannot be referenced, only external link calls are supported. Cause: File reference rules are not correctly configured in the workflow, limiting the use of local variables.
How to Verify Successful Configuration
- Submit a Q&A about the mixing process for a specific production batch, and check if the quote source module in the response includes the batch number and collection time.
- Review the quoted document fragments in the response, confirm the length meets expectations and includes core process parameters.
- Test uploading a local mixing curve file, confirm the system can correctly identify it and associate it with the corresponding Q&A result.
- Verify the multi-document reference scenario, confirm the number of returned results matches the single search limit setting.
The values provided are common starting points and should be measured against the reader's own samples.