Data Characteristics in This Category
Market access data originates from regulatory documents, guidelines, and approval requirements published by national drug administrations, as well as internal R&D reports, clinical trial data, and non-clinical study reports. These documents have a high update frequency; regulatory files may be revised or new versions released annually, while internal enterprise reports are continuously generated as R&D progresses. Document structures typically include extensive technical terminology, abbreviations, and tables, covering aspects such as drug ingredients, indications, dosage and administration, adverse reactions, and manufacturing processes. Fields and units adhere to strict industry standards, such as dosage units (mg, μg), time units (days, weeks, months), and concentration units (%, mol/L), often accompanied by complex conditions and cross-references.
Constraints Imposed by These Characteristics on "Deployment and Upgrade"
The high update frequency of regulatory documents requires the system to have an efficient incremental update mechanism. This avoids full re-parsing each time and ensures traceability of older information. The extensive technical terms, abbreviations, and tabular data in documents demand high accuracy and robustness from the parser, necessitating customized pre-processing rules and entity recognition models. The complex field and unit system, especially with accompanying conditions, dictates the complexity of structured output. Simple value extraction is insufficient; contextual semantics must be preserved. Furthermore, internal R&D reports contain sensitive information, requiring strict attention to data isolation and access control during deployment to ensure compliance. Deployment environments may be restricted to internal networks, preventing direct access to external resources. This challenges the system's ability for offline installation of dependencies and model loading.
Configuration Strategy
| Configuration Item | Recommended Value | Rationale for Recommendation |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Market access regulatory documents and R&D reports can contain numerous images or charts, leading to large individual file sizes. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large PDF files or complex tables is time-consuming, requiring a longer timeout to prevent interruption. |
Chunk size | 800–1200 characters | Retains sufficient contextual information to understand the semantic integrity of technical terms and regulatory clauses. |
Recall count | Top 10 entries | Ensures coverage of multiple relevant detailed clauses from regulations or reports in complex queries. |
Similarity threshold | 0.75 | The domain is highly specialized, requiring a high similarity score for accurate matching of relevant regulatory provisions or data. |
Rerank result count | 5 | Further refines recall results, improving the precision and relevance of the final answer. |
Three Common Mistakes
- Symptom: The system fails to parse most uploaded PDF files, reporting "file parsing failed" or "timeout." Reason: The
PARSE_FILE_TIMEOUT_SECONDSparameter is set too short, failing to accommodate the parsing time for large or complex document formats. - Symptom: After a knowledge base update, some old regulatory clauses still appear in queries, not being superseded by new content. Reason: The knowledge base's incremental update strategy was not enabled or incorrectly configured, leading to old data not being effectively replaced or marked as invalid.
- Symptom: When deploying FastGPT in an internal network environment, dependency models or components cannot be downloaded. Reason: The deployment server cannot access the internet, and offline installation packages for all dependencies were not prepared in advance, or a local model source was not configured.
How to Confirm Correct Configuration
- Upload a batch of market access regulatory documents and R&D reports in various formats (PDF, DOCX, tables). Verify that all can be successfully parsed and ingested, and that parsing time is within an acceptable range.
- Perform queries on ingested documents using technical terms, abbreviations, and specific fields (e.g., drug dosage, indications). Check the accuracy and completeness of the returned results, ensuring critical information is correctly extracted.
- Simulate a regulatory update scenario by uploading a new version of a regulatory document. Query relevant clauses to verify that the system prioritizes recalling the latest version of information and can distinguish between new and old versions.
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.