Data Characteristics
Cardiovascular intervention quality documents include medical device registration certificates, product technical requirements, clinical trial reports, production process specifications, inspection standard operating procedures (SOPs), risk management reports, and post-market surveillance files. Data sources are primarily internal quality management system documents, public databases from regulatory bodies, and clinical research institution reports. Document update frequency depends on regulatory changes, product iterations, and clinical feedback, typically quarterly or annually. Major events (e.g., recalls, serious adverse events) trigger immediate updates. Documents are mostly in PDF format, containing numerous charts, flowcharts, and specialized terminology. Fields include device model, batch number, production date, expiration date, inspection results, judgment criteria, and adverse event codes. Units include millimeters, milligrams, units (U), and percentages (%), often with specific abbreviations.
Constraints from "Reference and Traceability"
The update frequency and specialized nature of cardiovascular intervention quality documents require timely and accurate references. The presence of numerous charts and specialized terminology means traditional text segmentation and recall methods may miss critical information, necessitating more refined text processing strategies. Strict traceability requirements for fields like batch numbers and expiration dates mean references must precisely locate specific document versions, page numbers, and even paragraphs. Common abbreviations and specific units in documents challenge model comprehension, potentially leading to references that deviate from the original meaning. Furthermore, strict regulatory requirements mean any inaccurate reference can lead to compliance risks, so traceability granularity must be fine enough to support subsequent manual verification.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Chunk Size) | 500–800 characters | Balances context completeness for specialized terms with recall efficiency, avoiding dilution of key information in long chunks. |
Chunk Overlap Length (Chunk Overlap) | 100 characters | Ensures key information correlation across chunks, especially in descriptions of professional processes. |
Recall count (Recall Limit) | Top 5–8 results | Given the specialized nature of documents, increasing the recall limit covers more potentially relevant chunks, improving recall accuracy. |
Similarity threshold (Similarity Threshold) | 0.75–0.85 | Considering the specificity of domain vocabulary, a higher threshold filters for highly relevant content, reducing incorrect references. |
Rerank result count (Reranked Results Limit) | Top 3 results | After reranking, focuses on the few most relevant items, improving the precision of final references. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses the need to parse large PDF documents with numerous charts and complex layouts, preventing parsing timeouts. |
Common Mistakes
- The answer includes
inputandresponsecontent from knowledge base searches. This happens when intermediate steps of tool calls are not correctly disabled in the workflow configuration. - Knowledge base variable references are empty or unselectable. This happens when knowledge base query results are not correctly mapped to variables available for subsequent steps in the workflow.
- Reference sources point inaccurately or lack page numbers. This happens when the segmentation strategy for professional documents is too coarse, failing to preserve the original structured information.
How to Verify Configuration
- Submit a query containing a batch number and specific inspection standard. Check if the answer accurately references the corresponding document page number and specific paragraph.
- Upload an updated version of a quality document. Then, query a question related to the old version and confirm that the reference source correctly points to the latest version.
- Test queries containing numerous specialized abbreviations. Check if the answer accurately explains the abbreviations and can trace back to their original definitions.
Note: The values provided are common starting points. Measure them 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.