Data Characteristics for This Category
Data for live attenuated and inactivated vaccine products originates from various sources: regulatory approval announcements, clinical trial reports, manufacturing batch records, and post-market adverse event surveillance data. This data typically exists as structured documents (e.g., PDF product inserts, drug registration certificates) or semi-structured data (e.g., CSV clinical trial results, adverse event reports). Data update frequencies vary. Approval announcements and product inserts update less frequently, usually upon significant changes. Clinical trial data may have multiple updates at different stages. Batch records and adverse event data update with higher real-time frequency. Core fields include specific antigen content, residual toxicity indicators, immunogenicity potency, adjuvant type and dosage, and storage temperature requirements. Potency units commonly use TCID50/ml or PFU/ml. Antigen content may involve ug/ml. Storage temperature consistently uses ℃.
Constraints from "HTTP Interface and External Systems" for These Characteristics
The diverse data sources for live attenuated and inactivated vaccines require HTTP interfaces with robust document parsing capabilities, especially for extracting tables and complex text structures from PDF documents. High update frequency for some data necessitates external system integration that supports polling or webhook mechanisms to ensure information timeliness. For example, the real-time nature of adverse event data requires interfaces to respond quickly and update the knowledge base. The complex structure of documents like product inserts means refining parsing rules during data source configuration to avoid missing or misaligning critical fields. Field and unit specificity, such as TCID50/ml, demands strict format validation and unit standardization during data preprocessing to prevent subsequent model misinterpretation. Accurate identification of critical parameters like storage temperature directly impacts product inquiry accuracy, requiring interfaces to capture and recognize these values precisely.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 1500 tokens | Balances recall efficiency and model processing capability for the moderate text length of vaccine inserts. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Handles parsing complex PDF documents, especially those with numerous tables and images. |
UPLOAD_FILE_MAX_SIZE | 100 MB | Allows uploading large clinical trial reports or bundled product inserts. |
Chunk size | 800–1200 characters | Ensures critical information (e.g., manufacturing process, potency) for live attenuated/inactivated vaccines stays within the same segment. |
Similarity threshold | Calibrate by measurement, typically 0.75–0.85 | Balances query result accuracy and recall rate, preventing interference from irrelevant information. |
Rerank result count | Top 5 entries | Focuses on the most relevant vaccine product information, improving user experience. |
Three Common Pitfalls
- External system connection tests fail with
Cannot read p. This usually indicates incorrect API Key configuration or insufficient permissions, preventing proper access to external data sources. - Key fields (e.g., immunogenicity potency) are missing or inaccurate in vaccine inquiry results. This often stems from improper document parsing rule configuration, failing to correctly extract structured data or standardize units.
- Data updates are not timely, and users query outdated vaccine batch information. This might be due to an excessively long data source synchronization mechanism (e.g., polling interval) or webhooks failing to correctly receive update notifications.
How to Confirm Proper Configuration
- Manually upload a live attenuated/inactivated vaccine product insert PDF via the HTTP interface. Check if the parsed text content is complete and free of garbled characters, especially verifying correct table data recognition.
- Conduct multiple rounds of questions against the knowledge base. Verify if the model can accurately answer critical information about specific vaccines, such as potency and storage conditions, and cross-reference answers with original data sources for consistency.
- Simulate an external system data update process to trigger synchronization. Then, query relevant vaccine information to confirm that updated data correctly reflects in the knowledge base.
The values provided are common starting points. Measure them against specific samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.