What the data for this category looks like
Chemical pharmaceutical research reports mainly come from securities firm medical industry research reports, CDE public review materials, pharmaceutical company pipeline disclosure announcements, and professional medical databases. Update cycles vary significantly by content type: regular securities firm research reports are updated weekly, monthly, or quarterly, while pipeline progress-related reports are updated in real time alongside clinical milestones and review progress. Document structures typically include research summaries, target and pipeline details, clinical data metrics, financial projections, and risk warnings. Fields include target name, clinical stage, IC50 value, objective response rate, review number, and some documents include dedicated unit annotations such as concentration and trial effective rate.
What constraints do these characteristics impose on the "citation source and traceability" link
The multi-source and heterogeneous nature of chemical pharmaceutical research reports requires the traceability link to clearly label data source types, and distinguish different identification rules for securities firm research reports, review materials, and pharmaceutical company announcements. Clinical data includes professional metrics such as IC50 and objective response rate, as well as dedicated units. Traceability must accurately bind corresponding fields and unit information to avoid confusion. Real-time updated pipeline content requires the traceability link to support rapid synchronization of the latest official disclosure links. Non-standardized formats of pharmaceutical company announcements require traceability configurations to support metadata extraction across multiple document structures, ensuring that traceability information accurately corresponds to original content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_top_k | Top 8-12 entries | Chemical pharmaceutical research reports have high professional content density. Too many recall results will introduce irrelevant information, while too few will fail to cover core arguments |
enable_source_tag | Enabled | Different data sources such as securities firm research reports, CDE review materials, and pharmaceutical company announcements must be distinguished to ensure clear traceability |
field_precise_match | Enabled | Exclusive fields such as target names, clinical indicators, and review numbers must be accurately matched to avoid traceability confusion |
data_sync_interval | 15-60 minutes | Pipeline progress content requires real-time synchronization, while regular research reports can have a longer cycle, balancing timeliness and resource usage |
citation_template | [Data Source Type], [Publication Time], [Document Title], Section [Chapter/Page Number] | Complies with the traceability reading habits of medical industry research reports, facilitating verification by professionals |
parse_timeout | 300 seconds | Long research reports contain large amounts of clinical data and tables, requiring sufficient parsing time to ensure complete metadata extraction |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Citation sources in returned results do not match the original content. Cause: The
recall_top_kvalue is too high, orfield_precise_matchis not enabled, leading to field matching deviations. - Phenomenon: Redundant knowledge base reference links cannot be removed from responses. Cause: The display rules of
citation_templatehave not been adjusted, or the automatic attachment reference switch has not been turned off. - Phenomenon: Citation fields are empty after parsing long research reports. Cause: The
parse_timeoutvalue is too low, resulting in incomplete metadata extraction.
How to confirm the configuration is correct
- Randomly retrieve multiple different types of chemical pharmaceutical research reports, and check whether the citation tags in the returned results correctly distinguish data source types.
- View the citation section of a single response, confirming that only the configured citation template format content is displayed, with no extra redundant fields.
- Upload the latest published pharmaceutical company pipeline-related documents, checking whether the citation links point to official disclosure channels and that the associated metadata is complete.
- Simulate a long document parsing task, confirming that there are no timeout errors during the parsing process, and that all professional fields are correctly traced.
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.