What This Category’s Data Looks Like
Data comes primarily from public review reports issued by national drug regulatory agencies, official pharmacopoeia standards, R&D disclosure documents from marketing authorization holders, and batch release inspection reports. Update schedules align with regulatory announcements and annual batch release data releases, with no fixed weekly or monthly cycle. Common document formats include compliance-focused PDF reports, structured Excel inspection datasets, and clinical trial registration forms. Fields include active ingredient content, potency units (IU, U), production batch numbers, primary clinical trial endpoint metrics, adverse event statistics, and some documents include numerical records of production process parameters.
Constraints Imposed on Knowledge Base Retrieval and Recall Workflows
Biologics data has high structural complexity and includes specialized unit fields. Retrieval pipelines must support mixed text and numerical matching, and perform unit normalization for fields such as potency and content. This prevents recall failures caused by inconsistent unit labeling. Non-fixed-cycle data updates require knowledge base synchronization mechanisms to support triggering via regulatory announcements, while retaining a manual trigger option. Coexistence of long and short document formats requires segment retrieval to preserve field-level metadata associations. This avoids loss of binding between critical numerical values and their corresponding metrics. High-precision numerical fields require recall ranking to prioritize results with matching numerical precision. It also allows adjustment of matching thresholds based on use cases.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Biologics documents include long-text process descriptions and short numerical fields. This range balances long-text chunking and retention of numerical field associations |
similarityThreshold | 0.75–0.85 | Requires differentiation of highly similar potency value descriptions to avoid recall errors caused by low-precision matching |
recallTopK | Top 8 results | Biologics due diligence requires coverage of multiple data sources including review reports, inspection data, and clinical trials. 8 results cover core reference items |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Individual batch release inspection reports or clinical trial registration files can reach hundreds of megabytes in size. This setting supports large file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large structured datasets requires extended processing time to prevent interruptions from timeout errors |
enableNumericSearch | Enabled | Biologics data includes a large number of high-precision numerical fields. Enabling numerical search improves matching accuracy |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, 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 Misconfigurations
- Issue: The
referencefield in API response results is empty or does not include details such as document page numbers or inspection item IDs. Cause: The knowledge baseenableCitationconfiguration item is not enabled, or the retrieval request does not specify parameters to return citation details. - Issue: After uploading a new clinical trial report to the knowledge base, AI responses do not reference content from the uploaded document. Cause: Automatic synchronization trigger rules are not configured, and only manual triggering is used without performing a synchronization operation.
- Issue: Retrieval results include a large number of low-similarity irrelevant documents, such as matching specific potency values to other numerically similar expressions. Cause: The similarity threshold configuration value is too low, failing to filter low-quality matches caused by expression differences.
How to Verify Correct Configuration
- Upload a compliance report document related to biologics, perform a manual synchronization, then check the parsing status of the uploaded file on the knowledge base details page. Confirm that parsing is complete and metadata fields are complete.
- Submit a retrieval request that includes specific inspection metrics, and verify that the returned results include citation source details.
- Enter a query that includes specific numerical expressions, check the matching precision of recall results, and adjust similarity-related configurations to meet business requirements.
- Upload a large structured dataset, confirm that the upload and parsing processes do not produce timeout or interruption errors.
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.