Data Characteristics
Data for Contract Sales Organizations (CSO) registration and declaration document preparation originates from regulatory documents, guidelines, technical review requirements from drug administration departments, and internal enterprise data such as product research and development data, clinical trial reports, production process documents, and quality standards. This data typically exists in various document formats like PDF, Word, and Excel. Some data may reside in internal Laboratory Information Management Systems (LIMS) or Electronic Data Capture (EDC) systems. Data update frequencies vary; regulatory documents may update quarterly or annually, while internal product data generates in real-time with R&D progress. Document structures are complex, containing extensive unstructured text, tables, and charts. Fields and units involve specialized terminology from pharmacology, toxicology, and clinical medicine, such as drug dosage units (mg/kg), concentration units (µg/mL), and pharmacokinetic parameters (Tmax, Cmax). Data precision requirements are high.
Constraints on HTTP Interface and External Systems
The data characteristics of CSO registration and declaration documents impose specific requirements on HTTP interfaces and external system integration. First, diverse data formats require robust file parsing capabilities, especially for recognizing tables and nested structures within complex PDF and Word documents. Second, regular updates to regulations and guidelines mean interfaces must support incremental updates or version management to ensure knowledge base timeliness. Structured data from LIMS or EDC systems requires API interfaces to perform precise field mapping and data synchronization, ensuring the correctness of specialized terminology and measurement units. Additionally, due to large data volumes and sensitive information, HTTP interfaces need to support large file transfers and secure authentication mechanisms, such as OAuth2 or API Keys, and validate data integrity during transmission. Character encoding inconsistencies during file uploads are the primary cause of garbled characters, requiring explicit specification or automatic detection of encoding.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | CSO registration and declaration documents often include large clinical reports and detailed research data. This ensures large files upload without issues. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing complex PDF and Word documents can be time-consuming. This provides sufficient time to prevent timeouts. |
chunk_size | 800–1200 characters | Balances long text comprehension and recall efficiency, avoiding overly long or short text blocks. |
maxContext | 32000 token | Ensures accommodation of multiple relevant regulatory clauses and product data snippets, providing complete contextual information. |
similarity_threshold | 0.75–0.85 | Registration and declaration documents require high accuracy. A high similarity threshold filters for more precise recall results. |
embedding_model | text-embedding-ada-002 or higher | Selects a mature and stable embedding model to ensure accurate vectorization of professional terminology and complex semantics. |
Common Pitfalls
- Garbled characters when uploading files with Chinese names: The uploaded filename appears as question marks or unreadable characters. This occurs because the file upload interface or backend processing does not correctly specify or recognize character encoding, leading to a mismatch between default and actual encoding.
- Failure to correctly extract some fields or table content: Key data from documents is missing in the knowledge base. This happens when the parser's ability to recognize text in complex nested tables, merged cells, or images is insufficient.
- 503 errors during external system data synchronization: Data synchronization tasks fail and return a 503 status code. This indicates the target service is overloaded or rate-limited and cannot respond to API requests in time.
Verification Steps
- Upload various documents with Chinese names. Verify that filenames display correctly and document content is fully readable through the knowledge base management interface.
- Upload several PDF and Word documents containing complex tables and specialized terminology. Use the knowledge base search function to verify that key fields, values, and table content from these documents can be accurately recalled.
- Simulate external systems uploading large files or batch data via the API interface. Observe interface response times and check system logs for timeouts or error messages to ensure stable data transmission.
- Configure data synchronization tasks with external LIMS or EDC systems. Regularly check synchronization logs to verify correct data field mapping and that update frequency meets expectations.
The values provided are common starting points and should be measured 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.