What the data for this category looks like
Data for biologics research reports primarily comes from public research reports of leading securities firms' pharma research teams, third-party pharma consulting firms, and R&D pipeline announcements independently disclosed by biologics companies. Document structures include R&D pipeline details, clinical trial phases and endpoints, production process parameters, pricing projections, medical insurance negotiation progress, and more. Core fields include target name, clinical trial phase, production approval number, unit dose activity unit (IU), and others. Updates are triggered flexibly based on pipeline approvals, clinical progress, and policy adjustments, with no fixed schedule.
What constraints these characteristics impose on deployment and upgrade
Biologics research reports contain a large number of structured professional fields, and individual documents often include long clinical trial data. This requires configuring parsing rules that support structured field extraction during deployment, to avoid losing professional information when relying solely on full-text retrieval. The lack of a fixed update cycle requires the upgrade link to support incrementally triggered index updates, to avoid excessive resource consumption from full reindexing. The specificity of specialized terms such as target names and activity units requires configuring domain-adapted vector models to improve retrieval accuracy. The presence of unique identifier fields such as production approval numbers requires configuring deduplication rules during deployment to avoid duplicate indexing of the same research report.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Biologics research reports often contain long clinical trial data, with longer parsing times than general documents |
UPLOAD_FILE_MAX_SIZE | 100 MB | Biologics research reports often include attachments such as clinical data tables and process flowcharts, resulting in larger individual file sizes |
maxContext | 8000–12000 characters | Requires full accommodation of long field content such as target descriptions and clinical trial phases |
Recall Count | Top 15 results | Relevant results for biologics research reports need to cover pipeline analyses from different institutions, requiring sufficient candidate results to be recalled |
Similarity Threshold | 0.72 | Vector matching for specialized terms needs to balance recall rate and accuracy, avoiding irrelevant reports being included |
Incremental Update Trigger Threshold | 10% new document share | Biologics research reports have no fixed update cycle; triggering based on new document share balances indexing efficiency and data freshness |
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, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Errors
- Phenomenon: After deployment, the management console returns a
getPluginGroups 500error, prompting that the commercial edition link is not configured. Cause: When deploying the open-source edition, the environment variableFASTGPT_PLUGIN_API_URLwas not correctly configured, and the open-source edition does not integrate the proAPI directory related to commercial edition plugins by default. - Phenomenon: A timeout error occurs when parsing a single biologics research report. Cause:
PARSE_FILE_TIMEOUT_SECONDSwas not configured to a value higher than 600 seconds, failing to cover the parsing time required for long clinical text data. - Phenomenon: Irrelevant non-biologics research reports appear in retrieval results. Cause: No vector recall rules for specialized fields were configured, and relying solely on full-text retrieval leads to irrelevant content being recalled.
How to Confirm Proper Configuration
- Access the deployed management backend, navigate to the file parsing page in system settings, and confirm that the configured value of
PARSE_FILE_TIMEOUT_SECONDSmatches the preset value. - Upload a PDF of a biologics research report containing clinical trial data, wait for parsing to complete, and review the parsed structured fields to confirm that fields such as target name and clinical trial phase are correctly extracted.
- Initiate a retrieval for "PD-1 inhibitor R&D progress", and verify that all returned research reports contain biologics-related pipeline and clinical data.
- Add a newly approved biologics research report, trigger an incremental upgrade, and confirm that the content of this new report can be quickly retrieved.
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.