Data Characteristics for This Category
Tender listing data in the biomedical industry primarily originates from provincial and national centralized drug procurement platforms, medical consumable transparent procurement platforms, and public resource trading centers. Core data sources include notices, announcements, and public results published on these platforms. Data updates frequently, often daily or weekly. Documents are mostly unstructured text, such as Word or PDF notification files. A few platforms provide structured Excel or XML data. Document content covers key fields like drug name, generic name, manufacturer, dosage form, specifications, packaging, listed price, procurement cycle, and procurement entity. Some fields may involve specific units, such as "mg/tablet" or "IU/vial," as well as date formats like batch numbers and expiration dates.
Constraints Imposed by These Characteristics on "Tool Calling and Plugins"
The unstructured nature and high update frequency of tender listing data require tool calling to have robust document parsing capabilities and real-time data synchronization mechanisms. The large volume of unstructured PDF and Word documents makes direct API calls difficult for obtaining standardized field information. This necessitates OCR and natural language processing techniques to extract key data. Data sources are dispersed across multiple platforms, and their API interfaces and formats vary significantly. This increases the complexity of tool calling, requiring the development of specific adapters or multi-source data integration solutions. Furthermore, units and values for core fields like listed prices may have multiple representations, demanding higher standards for data cleaning and standardization to prevent comparison errors due to inconsistent units. High update frequency means tool calling must support scheduled or event-triggered incremental updates to ensure knowledge base timeliness.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 2000 characters | Tender listing documents often contain extensive background information, requiring a longer context for semantic completeness. |
chunkSize | 500 characters | Document paragraph lengths vary; this length helps capture complete tender clauses or product descriptions. |
overlapSize | 50 characters | Appropriate overlap ensures semantic information is not lost at paragraph boundaries, especially when parsing tables and lists. |
retrievalTopK | 5 items | Increases the number of retrieved results to cover more potentially relevant tender clauses or product information. |
similarityThreshold | 0.75 | Ensures retrieved results are highly relevant to the user query, filtering out low-quality information. |
timeoutSeconds | 600 seconds | Document parsing and data synchronization may involve large file processing and multi-source queries, requiring a longer timeout. |
Three Common Mistakes
- When calling tools, the API returns status codes
408or504. This usually indicates a slow data source response or excessive document parsing time, exceeding the default timeout set for tool calls. - In conversation results, information about drug prices or specifications shows unit confusion or numerical errors. This often occurs because units in the original documents are non-standardized, or fields were not effectively standardized after extraction.
- The latest tender listing information cannot be obtained through tool calls. This may be due to insufficient data synchronization frequency, or changes in the update mechanisms of some data sources, causing the tool's data fetching logic to fail.
How to Verify Configuration
- For 10 recently published tender listing documents, execute tool calls and check if the extraction accuracy of key fields (e.g., listed price, manufacturer, dosage form) exceeds the internally set qualification threshold.
- Simulate user queries to retrieve tender listing policies from different time periods and provinces. Verify if tool calls return highly relevant document snippets and if the returned document links are valid and accessible.
- Monitor tool call logs for frequent timeouts or error call records. If present, adjust the
timeoutSecondsparameter based on the error type or check the stability of the data source interface.
The values provided are common starting points and should be measured against your 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.