Data Characteristics for this Category
siRNA nucleic acid drug quality documentation data originates from preclinical study reports, clinical trial reports, manufacturing batch records, and regulatory submissions. These documents typically exist as PDFs, Word files, or structured databases. Update frequency is relatively low, primarily concentrated at key development stages and during post-market annual reports and change management. Document structure includes detailed experimental methods, data charts, analysis results, batch information, stability data, and impurity profiles. Fields and units involve precise chemical and physical parameters such as nucleic acid sequence, purity (%), endotoxin (EU/mg), residual solvents (ppm), pH, particle size (nm), and biological indicators like biological activity (IC50/EC50).
Constraints from these Characteristics on "Deployment and Upgrade"
The low update frequency of siRNA nucleic acid drug quality documentation means frequent crawling or synchronization mechanisms are unnecessary for document ingestion and indexing. A periodic or manually triggered approach is sufficient. Documents contain extensive precise numerical and unit information. Text segmentation and embedding must effectively preserve this critical data, avoiding context loss from excessive splitting or character corruption from encoding issues. The complex document structure, including charts and tables, requires enhanced parsing capabilities to accurately extract and understand non-textual information. Furthermore, the specialized and diverse fields demand higher semantic understanding from the retrieval model. This necessitates configuring longer context windows and more refined retrieval strategies to handle queries involving relationships between different metrics.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for this Value |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | siRNA nucleic acid drug documents may contain numerous charts and high-resolution images |
Chunk size (Segment Length) | 800–1200 characters (characters) | Ensures completeness of key parameters and context |
maxContext | 8192 | Addresses complex queries and multi-metric correlation |
Similarity threshold (Similarity Threshold) | 0.8 | Improves retrieval accuracy, reduces irrelevant results |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds (seconds) | Handles parsing of large PDF files, prevents timeouts |
Rerank result count (Reranked Results Count) | 10 entries (items) | Increases multi-dimensional information display, supports complex decisions |
Three Common Mistakes
- After an upgrade, anonymous share links and the "view original" function fail. Logs show 403 errors. The cause is incorrect
systemEnv.porALLOW_ANONYMOUS_ACCESSpermission settings inconfig.jsonor environment variables. - After deploying FastGPT, Redis continuously reports startup failures. Logs show connection failures or insufficient permissions. This typically results from incorrect
REDIS_URLorREDIS_PASSWORDconfiguration, or the Redis instance not exposing its port correctly or lacking persistence. - Key numerical values or units are missing from query results, such as purity percentages or particle size units. The model's answers are vague or incomplete. This occurs when document parsing fails to correctly identify or extract data from charts or tables, or when the segmentation strategy separates numbers from their units.
How to Verify Correct Configuration
- Upload a PDF batch analysis report for siRNA nucleic acid drugs containing tables and charts. Check if all key numerical values and units are fully preserved in the parsed text.
- Ask a complex question involving multiple technical metrics (e.g., "batch purity and endotoxin levels"). Verify if the model accurately retrieves and correlates relevant document segments.
- Simulate an anonymous user accessing the application. Test if share links and the "view original" function work correctly, ensuring no permission errors or missing functionality.
- After a system upgrade, check FastGPT service logs. Confirm no connection errors or startup failures related to dependent services like Redis or MinIO.
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.