What Data for This Category Looks Like
This category of data originates from design BOMs, ledgers for silicon steel sheets and insulating materials, vacuum drying equipment logs, oil test reports, partial discharge and withstand voltage test records from test stations, and documents including winding assembly details and nameplate parameters for individual products. Data is updated per individual product or per batch of raw materials. Documents contain both structured parameters such as insulation thickness and test voltage values, and unstructured records. Fields must match exclusive identifiers like equipment model, batch number, and test date. Units include industry-specific measurements such as millimeters, kilovolts, and microcoulombs.
Constraints Imposed on Tool Calling and Plugin Workflows
Exclusive traceability data for individual products requires tool calls to bind to the context of the corresponding equipment model and batch number, to prevent cross-product data mixing. Frequently updated vacuum drying and partial discharge test records need to support real-time or near-real-time synchronization, to avoid data lag that reduces Q&A accuracy. Field validation for core parameters like insulation thickness and test voltage must align with industry-specific units and formats, to avoid errors in unstructured text parsing. When importing data in batches, separate storage logic must be used for individual product traceability data and batch ledgers, to ensure accurate target document retrieval during searches.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Auto | Adapted for professional process Q&A scenarios, automatically triggers the appropriate tools |
| Workflow/API function-call configuration | Enabled | Enforces structured tool calling to avoid parsing errors in unstructured data |
| Single recall limit | Top 10 entries | Matches the average number of documents related to a single product, to avoid interference from redundant data |
| Context window size | 1200–1500 characters | Adapted to the length of core process documents for a single product, ensuring complete loading of key parameters |
| Timeout period | 600 seconds | Matches the default time limit for cross-data source retrieval under FastGPT v4.17.0 |
| Field mapping rules | Calibrated based on actual testing | Must match the exclusive column names of CSV or structured documents to ensure accurate data reading |
Three Common Misconfigurations
- Tool calls return empty results, but target content is accessible via plugin preview. This occurs when the context binding logic for
functionCallis not properly configured, and the current product’s batch number and model parameters are not passed to the tool request header. - After uploading CSV-format process documents, search results do not match the dataset created in the interface. This happens when the field mapping rules for the CSV file are not specified, and the default columns read during tool calling do not match the business-required insulation parameters and test data.
- After using chunk mode to call the pushdata API to upload data, the interface remains stuck on the indexing status. This is caused by not setting a correct batch data splitting threshold, leading to a single batch data size that exceeds the system’s default indexing processing limit.
How to Verify Correct Configuration
- Initiate a Q&A for the process specifications of a single transformer, and confirm that the documents returned by the tool call include the product’s exclusive insulating oil report and partial discharge test data.
- Upload a batch of insulating material data, run a retrieval via tool calling, and confirm that the returned fields fully match the preset business parameters.
- Simulate the plugin preview and formal calling workflows, compare the content returned by both to validate that the context binding logic is active.
- Check the system indexing logs under FastGPT v4.17.0, and confirm that batch data uploaded in chunk mode completes indexing within a reasonable timeframe.
The values provided here are common starting points, and should be evaluated against the reader’s own samples.