Data Characteristics in this Domain
Market access R&D documents include clinical trial protocols, investigator brochures, clinical study reports (CSRs), drug labels, marketing authorization applications (NDAs/BLAs/MAAs), and regulatory guidelines from various national agencies. Data sources are diverse, encompassing internal R&D systems, external databases, and government regulatory platforms. Update frequency depends on the R&D stage and regulatory changes. For example, clinical trial reports update slowly, while regulatory guidelines may be revised frequently due to policy adjustments. Document structures are complex, often containing large amounts of unstructured text, tables, figures, and specific field information like pharmacological actions, indications, dosage and administration, adverse reactions, and approval pathways. Field units vary, such as dose units in mg/kg, time units in days/weeks, involving numerous medical and pharmaceutical specialized terms.
Constraints Imposed by These Characteristics on "Citation and Traceability"
The complex structure and specialized fields of market access documents demand high precision in source citations. Frequent updates to regulatory guidelines mean knowledge base content must remain current; otherwise, outdated information may be cited. The large volume of unstructured text and tables in documents makes it difficult for traditional keyword-based retrieval to accurately identify contextual relationships. The use of specialized terminology and abbreviations requires the model to possess domain knowledge to avoid misinterpretations. Furthermore, the multi-source heterogeneous data characteristic necessitates integrating document links and version information from different sources during traceability. This ensures users can trace back to the original source and verify information accuracy and compliance. The completeness of the citation chain is crucial, especially when dealing with approval pathways and risk assessment.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size | 800-1200 characters | Accommodates lengthy descriptions and complex statements in documents, ensuring contextual completeness |
Recall count | Top 8-12 entries | Covers information from different sources and perspectives, enhancing recall comprehensiveness |
Similarity threshold | 0.75-0.85 | Balances precise matching of specialized terms with semantic understanding, reducing noise |
Rerank result count | Top 5 entries | Focuses on the most relevant key information, improving user reading efficiency |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Handles parsing time for large clinical study reports and approval documents |
Citation Metadata Fields | Document Version Number, Source Link, publication date | Ensures completeness and verifiability of traceability information |
Three Common Mistakes
- Retrieval results include citations irrelevant to the question. This happens when chunk length is too long or too short, leading to loss of context or fragmented information.
- The citation ID returned by the conversation request interface is empty. This occurs when the knowledge base indexing fails to correctly extract or store the document's unique identifier.
- Cited document versions are outdated. This is because the knowledge base update mechanism is not synchronized with the source data update frequency, leading to stale data.
How to Verify Correct Configuration
- For typical market access questions, verify whether the cited content directly supports the answer and check if the cited document version matches the source.
- Call the API to check if the citation fields in the returned results include necessary metadata such as
Document Version Number,Source Link, andpublication date. - Batch import market access documents with different structures. Check the quality of the parsed knowledge blocks, especially the accuracy of table and specialized field information extraction.
- Simulate a regulatory update scenario. Verify if relevant regulatory citations in the knowledge base are updated to the latest version in a timely manner.
Note: The values given 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.