What the Data for This Category Looks Like
The data for biologics research reports targeted at financial institutional investors comes from four primary sources: publicly available annual reports of pharmaceutical companies, CDE approval announcements, specialized pharmaceutical industry databases, and research documents published by third-party medical consulting institutions. Updates are triggered by industry events. New reports are added when new products receive approval, clinical trial phase updates are released, or industry policies are issued. Weekly bulk updates are the standard routine for ongoing content. Each document includes four core modules: key target information, clinical trial data, market size projections, and policy analysis. Fields include target name, clinical trial phase, approval number, per-dose price, and more. Units used include professional medical and economic units such as hundred million yuan, number of cases, and milligrams. Individual documents are generally lengthy; some in-depth reports can reach tens of thousands of characters.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
The multi-source, dispersed nature of the data requires HTTP interfaces to support cross-data-source knowledge base synchronization configurations. This prevents information gaps from single data sources. The generally long document length means interface context processing and parsing timeout parameters must be adapted for long text scenarios. Unadapted settings may cause timeouts or content truncation. The specificity of professional fields and units requires the interface’s semantic recall threshold to match the recognition of professional terminology. This avoids introducing irrelevant general medical research report content. The uncertain update frequency requires external system synchronization tasks to have configurable flexible trigger cycles. This accommodates temporarily added research report data.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | Biologics research report content is specialized and lengthy. Too many recalled entries will exceed the context capacity limit. Too few will fail to cover core information |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing a single in-depth biologics research report takes a long time. The default timeout duration is insufficient for complete parsing |
segment length | 800-1200 characters | Biologics research reports contain a large number of continuous professional terms. Too short a segment will split term semantics. Too long will increase single-segment processing pressure |
similarity threshold | 0.75-0.85 | Professional terminology in biologics research reports has high recognition. A threshold that is too low will introduce irrelevant general medical research report content |
maxContext | 12000-15000 characters | Adapts to context splicing requirements after long document parsing. Prevents content loss due to context overflow |
rerank return count | Top 3-5 entries | Core information of biologics research reports is concentrated in a small number of documents. Too many returned entries will disperse retrieval focus |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: API calls return results that differ significantly from online chat. Some professional target information is not recalled, or irrelevant content is included. Cause: Online chat enables knowledge base reranking by default, while API does not. The
rerank return countparameter is not configured, leading to inconsistent matching of recalled content. - Phenomenon: API calls return a
504 Gateway Timeoutstatus code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. Parsing time for biologics research reports exceeds the default timeout limit. - Phenomenon: Logs show an
Api response error: undefinederror. Cause: ThemaxContextparameter is not configured. Context splicing after long document parsing exceeds the system's default limit, leading to failure to generate a normal response.
How to Verify Proper Configuration
- Call the API with preset biologics target keywords. Verify that the returned results include the core fields of the corresponding research reports.
- Compare returned content between online chat and the API. Confirm that the recall and matching of professional information meet expectations.
- Check the response status code of the API call. Confirm that no timeout or parameter error status codes appear.
- Call the API in batches and verify the consistency of returned results. Confirm that no configuration anomalies occur.
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.