What Data for This Category Looks Like
The data for this category typically comes from object storage, data warehouses, annotation platforms, and customer acceptance feedback. Update cycles follow each batch delivery or version release. Daily supporting documents include dataset descriptions, version records, delivery lists, and acceptance reports. Core fields include version numbers, sample difference descriptions, and delivery completeness identifiers. Data circulates in structured delivery packages. The core goal is to ensure traceability of delivered content. Unlike data cleaning and quality inspection processes, this workflow focuses more on the overall traceability of delivery packages and versions.
Constraints on Citation Sources and Traceability
Dispersed data sources require cross-system association across object storage, data warehouses, and other systems for traceability. Update frequency shifts with delivery batches. Version numbers must be strictly bound to match corresponding data sources to prevent mixing data from different batches. Multiple scattered daily supporting documents require clear field mapping rules for associating documents such as dataset descriptions and version records. This ensures accurate matching of information from the corresponding delivery package during traceability. Delivery package integrity requirements mandate verification of consistency between samples and delivery lists during traceability. Chaos in version number management directly causes traceability failure, making it impossible to associate original data for corresponding test cases and defect analysis.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Adapts to the single-batch text length of dataset delivery packages, avoiding truncation of version and delivery information required for traceability |
responseData | Includes version number, delivery list fields | Ensures returned content carries core traceable identifiers, matching the field structure of daily supporting documents |
detail | Enabled | Fully returns dataset version records and sample difference descriptions, supporting traceability details for defect analysis |
| Single search limit | Top 10 entries | Covers the typical sample count of a single batch delivery, avoiding omission of associated data required for traceability |
| Similarity threshold | 0.6–0.8 | Balances recall precision and coverage, adapting to text difference degrees across dataset versions |
Three Common Misconfigurations
- Symptom: After setting the maximum number of referenced entries, recalled content always remains at a fixed value and does not grow. Cause: Dataset version identifiers are not bound. The system only recalls a fixed sample size for the current version by default, and does not associate traceability data across batches.
- Symptom: Returned traceability information only contains fragmentary text, and does not carry version number and delivery list fields. Cause: The
responseDataparameter is not configured to specify required return fields, and only original text fragments are recalled. - Symptom: Cannot associate the filed field of the corresponding dataset via sourceid. Cause: Field mapping rules for associating object storage and data warehouses are not specified in the configuration, leading to failure to match correct delivery package data during traceability.
How to Confirm Correct Configuration
- Initiate a test case query, and check whether returned results include core identifier fields such as version number and delivery list.
- Adjust the
quoteMaxTokenparameter value, and verify whether the length of recalled content changes with the configuration. - Upload dataset delivery packages of different versions, and confirm that query results can accurately match traceability information for the corresponding version.
- View FastGPT v4.17.0 system logs, and confirm that no errors of missing fields or cross-source association failure occur.
The values provided are common starting points and should be evaluated against applicable local samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.