What the Data for This Category Looks Like
Marketing data for refractories is primarily sourced from production management systems, quality inspection reports, sales liaison records, and technical document libraries. Data update cadences fall into three categories: real-time quality inspection data updated daily, product pricing and inventory data adjusted weekly, and marketing cases and technical manuals updated on demand. The data structure includes structured fields and unstructured attachments. Structured fields cover parameters such as product grade, chemical composition percentage, bulk density, compressive strength, with units mostly g/cm³, MPa, and delivery days. Unstructured attachments include large files such as product manuals and kiln supporting drawings.
Constraints for HTTP Interfaces and External Systems
Structured technical parameters require interfaces to support strict field type validation to prevent numeric parameters from being incorrectly converted to string format. Data sources with multiple update frequencies require differentiated pull cycles. For example, quality inspection data needs high-frequency pulling to ensure timeliness, while pricing data can be synchronized at low frequencies to reduce interface load. Large unstructured attachments require interfaces to support resumable uploads and large-capacity file transfers, along with reasonable timeout configurations to handle large file transfers. Multi-condition query requirements need support for combined parameter passing, such as filtering data by application kiln type and product grade, to avoid excessive interface load caused by full-volume pulls.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Knowledge Base Chunk Length | 800–1200 characters | Refractory product documents often contain long technical parameter descriptions. Excessively long chunks will break parameter association logic, while excessively short chunks will lose contextual information |
HTTP Request Timeout | 300 seconds | Single pulls of refractory quality inspection data have large data volumes, requiring sufficient time for transmission and processing |
Retrieval Similarity Threshold | 0.75–0.85 | Marketing scenarios require matching specific customer kiln type needs. A threshold that is too low will introduce irrelevant parameters, while a threshold that is too high will miss accurately matched technical solutions |
External API Authentication Header | Fill in the Authorization field value of the third-party interface | Complies with authentication specifications for most third-party APIs and adapts to their authentication requirements |
Maximum File Upload Size | 2000 MB | Refractory product manuals and kiln supporting drawings are mostly large PDF or CAD files, requiring support for large-capacity uploads |
Workflow Dynamic Knowledge Base Binding | Enabled | Marketing scenarios require dynamic switching of knowledge bases based on customer input. Dynamic binding adapts to different business scenarios |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: When configuring a third-party API interface, the test passes but returns a
401 Unauthorizederror during formal invocation. Cause: The authentication parameter was not correctly filled in theExternal API Authentication Headerconfiguration item, or the key was not updated synchronously. - Phenomenon: When configuring a [Knowledge Base Search] node in a workflow, the target knowledge base cannot be bound via variables passed by the API. Cause: The dynamic knowledge base binding permission for the workflow was not enabled, or the variable was not mapped to a valid knowledge base ID format.
- Phenomenon: Calling the quality inspection data interface returns an empty result with no clear error prompt. Cause: The interface pull cycle was not adjusted according to the update frequency of refractory data, and the data source had not completed the daily update when the request was sent.
How to Confirm Proper Configuration
- Initiate a simulated API call, pass typical refractory product grade and application kiln type parameters, and check if the returned results include matching product parameters and marketing content.
- View the FastGPT workflow execution logs to confirm that the [Knowledge Base Search] node correctly parses the passed variables, with no variable binding failure prompt messages.
- Check the external interface call records to confirm that the request frequency complies with the configured tiered limits, and no current limiting interception from the external system was triggered.
- Upload a refractory product manual PDF to confirm that the file upload is successful and the chunked content can be retrieved normally.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.