Data Characteristics for This Domain
Real-World Study (RWS) regulatory documents in the biopharmaceutical field primarily originate from regulations and guidelines published by regulatory bodies like the National Medical Products Administration and the National Health Commission, as well as standards and consensuses from industry associations. Document types are mainly PDF and Word, with some structured XML or JSON data. These documents are typically lengthy formal texts containing extensive specialized terminology, legal provisions, and technical specifications. The update frequency is relatively low, primarily occurring during policy and regulation adjustments or the release of new guidelines. Document internal structures are well-organized, usually including chapter titles, clause numbers, and appendices, but specific formats vary across different sources. Fields involve study design, data collection, statistical analysis, and ethical review. Units cover time (years, months, days), quantity (cases, copies), and percentages, often accompanied by specific medical or statistical symbols.
Constraints Imposed by These Characteristics on "Reference Tracing and Source Attribution"
The lengthy nature of RWS regulatory documents requires the knowledge base to balance semantic completeness and recall efficiency during document chunking. This prevents splitting a complete regulation or clause, which could affect tracing accuracy. The low update frequency means knowledge base index updates do not need to be frequent; the focus is on completeness and accuracy during initial import. The specialized terminology and legal provisions in the documents demand high semantic understanding from text embedding models to accurately match relevant clauses during queries. Format differences across various source documents increase preprocessing complexity, requiring more flexible parsing strategies to extract effective information. Additionally, for clauses involving specific numerical values and units in study design or statistical analysis, it is crucial to ensure precise presentation of values and units in citations to avoid misinterpretation or ambiguity. This dictates that when displaying reference sources, providing original document links is necessary, along with highlighting relevant passages in the original text.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size | 500–800 characters | Balances semantic completeness and recall efficiency, avoiding splitting core clauses. |
Recall count | Top 8 entries | Covers more potentially relevant passages, enhancing the comprehensiveness of tracing. |
Similarity threshold | 0.75 | Ensures high relevance of recall results to the query intent, reducing noise. |
Rerank result count | Top 5 entries | Further refines the most relevant passages from the recall results for display. |
Citation Display Mode | Original Link + Highlight | Provides access to the original text and visually indicates the location of key information within it. |
Document Preprocessing Strategy | Based On chapter title | Utilizes the internal document structure to maintain semantic coherence during chunking. |
Three Common Mistakes
- Original document links cited in query results are broken or point to incorrect pages. This occurs if the original URL was not correctly parsed or stored during document import, or if the original document's external storage location changed.
- Cited passages in answers do not perfectly match the actual original content, or the highlighted area deviates from key information. This happens if document chunking granularity is too coarse or too fine, leading to incomplete semantics or missing context, or if key text was not accurately identified during text extraction.
- When asked about a specific regulatory clause, the system returns multiple unrelated policy documents. This indicates that the knowledge base's embedding model insufficiently understands specialized terminology, failing to distinguish between semantically similar but differently applicable clauses.
How to Confirm Correct Configuration
- Test with multiple typical questions to check if all original document links cited in answers open correctly and navigate to the right location within the document.
- Verify each highlighted original passage in the reference sources to determine if it accurately covers the core information in the answer and maintains semantic completeness.
- For queries containing specialized terminology or numerical units, assess whether the recall results precisely point to the relevant clauses and confirm that the numerical and unit citations in the answer match the original text.
- Randomly sample documents from the knowledge base to verify that chunk lengths and split points meet expectations, preventing critical information from being improperly cut off.
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.