What the data for this category looks like
This data primarily comes from official technical documentation of fintech vendors, IT operation and maintenance analysis reports for the financial industry, technical white papers for banking business systems, and compliance operation and maintenance guidelines. Update frequency varies by source: vendor documentation updates in real time with version iterations, while industry reports are mostly released quarterly or semi-annually. Document structures include modules such as technical parameter descriptions, deployment processes, compatible hardware specifications, vulnerability repair records, and financial compliance requirements. Fields include version numbers, memory usage units (GB), response time units (milliseconds), supported operating system versions, compliance certification numbers, and more. Most individual documents are tens of thousands of characters in length.
What constraints these characteristics impose on tool calling and plugins
Financial sector IT service research reports include compliance requirement fields, requiring tool calls to strictly filter irrelevant content and only return technical information that meets financial regulatory requirements. Multi-source update rhythms require tool plugins to support switching configurations between incremental pulls and full updates, to avoid repeatedly pulling outdated compliance content. Long documents with dense technical terms require the tool calling’s segmentation and recall logic to adapt to the semantic integrity of professional texts, avoiding splitting that disrupts technical logic. Fields include technical parameters with units and compliance numbers, requiring tool outputs to strictly retain field names and corresponding units, with no generalized processing allowed.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | Financial IT service research reports contain coherent technical processes and compliance descriptions; this length preserves complete logical units |
recall_count | Top 8–12 results | Technical details and compliance requirements in research reports are scattered across multiple paragraphs; a sufficient number of relevant fragments must be recalled to cover complete information |
similarity_threshold | 0.72–0.85 | Professional terminology and compliance requirements account for a high proportion in research reports; low-relevance general descriptions must be filtered out to retain highly matched technical content |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual financial IT service research report documents have large file sizes; sufficient time is required to process long texts and table content |
tool_call_trigger_threshold | 0.68 | Tool calls must be triggered promptly when user questions involve specific IT technical parameters or compliance requirements, to obtain the latest research report data |
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, and testing on applicable samples is recommended before finalizing.
Three common mistakes
- Issue: Compliance certification number fields are missing from research report data returned by custom tools. Cause: The compliance certification number field in the research report was not correctly mapped to custom tool variables, resulting in failure to obtain accurate data during calls.
- Issue: The function calling module cannot be found in the application orchestration interface. Cause: The "Tool Calling" switch was not enabled in application settings, or the data source plugin package corresponding to the financial IT service research report was not uploaded.
- Issue: A
401 Unauthorizederror code is returned when calling the embedding model. Cause: The API key and request address of the embedding model were not correctly configured, and the long text input parameters for financial IT service research reports were not adapted.
How to confirm successful configuration
- Upload a financial IT service research report document, check the segmentation results in the parsing log, and confirm that the segmentation did not disrupt complete technical parameter and compliance requirement paragraphs.
- Initiate a question containing specific IT technical terminology or compliance requirements, and verify whether the tool triggers and returns relevant fragments from the corresponding research report.
- Check the tool calling log to confirm that no timeout error corresponding to
PARSE_FILE_TIMEOUT_SECONDSwas triggered. - Test the embedding model call, and confirm that the returned vector data format meets preset requirements.
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.