What the Data for This Category Looks Like
This use case targets financial industry users. Primary data sources include securities firms’ military industry research reports, public disclosures from aerospace original equipment manufacturers and supporting suppliers, and industry analysis documents published by industry associations. Update cycles include regular quarterly and annual industry reviews, as well as ad-hoc updates triggered by sudden model test flight or delivery announcements. Document structures typically include modules such as core model parameters, supply chain details, R&D progress, and policy supporting regulations. Fields cover professional parameters including maximum flight Mach number (unit: Mach), range (unit: kilometers), delivery cycle (unit: days), and R&D milestone progress, alongside general fields such as research report publishing institution, publication date, and rating.
Constraints on HTTP Interfaces and External Systems
Aerospace equipment research reports have professional parameters with specific units, long document lengths, and irregular update cycles. Additionally, financial industry users often need to sync retrieval results to internal office systems. These characteristics create multiple constraints for interface and external system integration. First, standardized units for professional parameters require interfaces to support parameter unit parsing and mapping, to avoid unit confusion in internal systems that would disrupt analysis. Second, the combination of long documents and ad-hoc updates requires scheduled pull configurations for interfaces to support custom trigger times, while adapting to long-text parsing and chunking processing to maintain retrieval efficiency. Third, the professional nature of multiple fields requires external system integration to support custom field mapping, to ensure core parameters are not misclassified or lost, and to align with financial investment research data analysis needs.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxChunkSize | 1000–1200 characters | Aerospace equipment research reports contain long paragraphs of technical parameter descriptions. This length preserves parameter context while avoiding overly long individual chunks |
chunkOverlap | 150–200 characters | Technical parameters in aerospace equipment research reports are often linked across paragraphs. Overlapping characters ensure continuity of parameter context |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Individual aerospace equipment research report files have large file sizes and require longer parsing time |
Recall count | Top 8–10 entries | Core parameters of aerospace equipment research reports are concentrated. Too many recalled entries will introduce irrelevant information |
Similarity threshold | 0.75–0.82 | Aerospace professional terminology has high distinctiveness. This threshold filters low-relevance non-professional matching results |
Workflow API Concurrency Limit | Calibrated based on actual testing | The carrying capacity of different external systems varies. Adjust based on the QPS limits of the connected system |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Interfaces may return research report chunks with broken professional parameters. This occurs when
maxChunkSizeandchunkOverlapparameters are not adjusted to match the long paragraph characteristics of aerospace equipment research reports, leading to forced splitting of technical parameters. - Calls to the
/api/v1/dataset/queryinterface may return empty custom professional fields. This occurs when custom field mapping parameters exclusive to aerospace equipment research reports are not specified in the interface request, preventing external systems from recognizing professional parameters. - External systems calling workflow APIs may receive
429 Too Many Requestserrors. This occurs when theWorkflow API Concurrency Limitparameter is not adjusted to match the business peak load of aerospace equipment research report retrieval, exceeding the system's carrying threshold.
How to Confirm Configurations Are Correct
- Call the
/api/v1/dataset/queryinterface, pass aerospace professional terminology keywords, and check if the returned result chunks retain complete parameter context. AdjustmaxChunkSizeandchunkOverlapparameters until the expected outcome is achieved. - Review the field list returned by the interface, confirm that custom aerospace professional parameters have been correctly mapped to corresponding columns in external systems, and verify that field mapping configurations are active.
- Simulate concurrent calling requests from external systems, observe the status codes returned by the interface, and adjust the
Workflow API Concurrency Limitparameter until no abnormal errors occur. - Call the
/api/v1/workflow/triggerinterface, check if the returned opening remarks match the custom script for aerospace equipment research report retrieval, and confirm that the workflow configuration ID is correctly bound.
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.