Data Characteristics
High-value consumable policy and SOP data originate from internal hospital management systems, National Medical Products Administration regulations, and supplier product specifications. This data updates infrequently, typically quarterly or annually, aligning with policy changes or product batch updates. Document structures vary, including PDF regulations, Word-format operating procedures, and Excel-format directories. Fields include standard consumable names, codes, and specifications, along with specific information such as registration numbers, manufacturers, expiration dates, storage conditions, sterilization methods, department usage restrictions, and medical insurance payment categories. Units often involve quantity (e.g., "pieces," "sets"), time (e.g., "months," "years"), and temperature (e.g., "℃"), requiring high precision.
Constraints on the HTTP Interface and External Systems
The diverse data sources for high-value consumables require the HTTP interface to support parsing and extraction from multiple file formats, such as tables and text within PDFs. Infrequent updates mean that frequent polling of external systems is unnecessary. Instead, periodic tasks or event-driven triggers can initiate data synchronization. Complex document structures and specialized key fields demand rigorous data cleaning and structuring, especially for extracting information like registration numbers and expiration dates, which require precise regular expression matching or template-based extraction. The strictness of fields and units mandates that data types and validation rules transmitted by the interface align with business systems. For example, the expiration date field must be a date format, and storage condition fields must be correctly identified and parsed to prevent discrepancies in policy Q&A.
Configuration Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
externalApiUrl | https://internal-sops.example.com/api/v1/materials | Standard API address for the external SOP management system. |
maxChunkSize | 1000 characters | Balances semantic integrity of documents with model processing efficiency. |
overlapRatio | 0.15 | Ensures continuity of segmented context, improving Q&A recall. |
parseTimeoutSeconds | 300 seconds | Accommodates parsing time for large PDFs or complex Word documents. |
metadataFields | ["materialCode", "registrationNo", "validityPeriod"] | Ensures key attributes of high-value consumables can be used for filtering or weighting during vector retrieval. |
recallTopK | 8 entries | Balances Q&A response speed with information comprehensiveness, avoiding omission of relevant policy clauses. |
Common Pitfalls
- An HTTP interface call returns a 500 or 403 status code. This typically indicates external system authentication failure or request parameters that do not conform to the API specification.
- After parsing uploaded policy document content, some key fields (e.g., registration number, expiration date) are empty or incorrectly formatted. This occurs because the parser is not optimized for the specific layout of high-value consumable documents, leading to inaccurate information extraction.
- During Q&A, a specific clause within a policy document cannot be retrieved. This may be due to excessively long or overly granular document segmentation, leading to semantic loss or incomplete context during vector embedding.
Verification Steps
- Use FastGPT's test interface to call the external system API. Verify that the returned data structure and key field content meet expectations.
- Upload a policy document containing complex tables and specific fields. Check the parsing results of this document in the knowledge base. Confirm that all key information is correctly extracted and structured.
- Pose several complex questions about the uploaded policy document, including high-value consumable codes and expiration dates. Verify that the Q&A results accurately recall relevant clauses and provide correct answers.
- Monitor the external system API call logs. Confirm that the frequency and parameters of HTTP requests align with the configured strategy.
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.