Data Characteristics
In the biopharmaceutical sector, tendering and listing refers to public announcements for drugs, devices, and other products entering government or hospital procurement catalogs. Data originates from government procurement platforms, medical institution websites, and third-party tendering information aggregators. Update frequency is high, often daily or real-time. Document formats vary, including PDF tender documents, winning bid announcements, procurement requirements, and web-based public notices. These documents contain structured and semi-structured information, such as product name, generic name, manufacturer, specifications, unit, winning bid price, procurement quantity, and procurement cycle. The unit field often involves multiple measurement units like "box," "bottle," "piece," and "tablet," requiring unit conversion across different specifications.
Constraints on Reference Tracing
High update frequency in tendering and listing documents requires a knowledge base with rapid synchronization and invalidation mechanisms to ensure reference timeliness. Diverse document formats (PDF, web) and semi-structured characteristics demand robust text extraction and entity recognition capabilities for accurate identification and association of key information. For example, PDF table data requires precise parsing, and dynamic web content needs effective capture. Complex measurement units necessitate correct tracing to original units during referencing and standardization when necessary to avoid confusion. Additionally, numerous similar product and generic names can lead to ambiguous recall results, requiring more refined semantic matching and reference validation mechanisms to distinguish between identical product information from different batches or regions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk Length | 500–700 characters | Tender documents often contain long descriptive texts; this length helps maintain contextual integrity. |
Recall Count | Top 8–12 | Considering that tender information may be dispersed throughout documents, increasing recall count improves relevant information capture. |
Similarity Threshold | 0.75–0.85 | For similar product names or descriptions, a higher threshold reduces the recall of irrelevant information. |
Rerank Return Count | Top 3–5 | After reranking, focusing on the most relevant few references improves response accuracy. |
Reference Variable Format | {{source.url}} and {{source.page}} | Ensures traceability to the original document's online address and specific page number for user verification. |
Parse Timeout | 300 seconds | For large PDF tender documents, extending parse time prevents parsing failures due to file size. |
Common Pitfalls
- A
quote type errorduring knowledge base variable referencing typically indicates a mismatch between the referenced variable name and the actual field name stored in the knowledge base. - Failure to display the specific address of the referenced file in the response usually occurs when the response template does not correctly include variables like
{{source.url}}or{{source.link}}. - Empty or incomplete reference sources may result from key metadata (e.g., original filename, URL) not being correctly extracted and stored during the document parsing process.
Verification Steps
- Test with multiple typical tendering and listing documents. Check if core fields such as product name, winning bid price, and units in the response references match the original document content.
- Review system logs to check for
PARSE_FILE_TIMEOUT_SECONDSor other parsing errors during document processing. Ensure all key metadata fields are successfully extracted. - During actual Q&A, verify that reference source links are clickable and accurately navigate to the original document or its corresponding online page, and can pinpoint relevant content.
The values provided are common starting points and should be measured against the reader's own 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.