Data Characteristics
Process validation procedure data primarily originates from batch records, inspection reports, equipment calibration records, personnel training files, and standard operating procedure (SOP) documents. Data update frequency is relatively stable, with minor adjustments typically occurring during process changes, equipment maintenance, or periodic reviews. Document structures are mainly PDF, Word, or scanned images, containing numerous tables, charts, and textual descriptions. Key fields include batch number, product code, equipment number, validation stage, validation item, deviation record, and signature date. Units involve temperature (℃), pressure (MPa), time (hours), concentration (%), often accompanied by specific testing methods and acceptance criteria.
Constraints Imposed by Data Characteristics on Workflow Orchestration
The multi-source and unstructured nature of process validation data requires robust multi-format file parsing capabilities during data ingestion, especially for extracting table and chart content. Documents update infrequently but contain critical information, necessitating version management and historical traceability during knowledge base construction. The need for field and unit standardization dictates precise entity recognition rules during information extraction within the workflow to ensure data consistency. Furthermore, the rigorous nature of validation processes demands workflow support for complex conditional judgments and approval nodes. Examples include triggering different subsequent processing branches based on deviation levels or requiring multi-level reviews at specific validation stages. Queries and writes to external systems (e.g., LIMS or ERP) are also common workflow design requirements for obtaining real-time production data or updating validation statuses.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Process validation documents are often large, containing complex charts and tables, requiring a longer parsing time to avoid timeouts. |
maxContext | 8000 characters | Retains sufficient contextual information to handle lengthy descriptions and multi-paragraph logical connections in SOPs. |
Chunk size (Segment Length) | 500–700 characters | Balances semantic completeness and retrieval efficiency, preventing long paragraphs from diluting key information and avoiding context loss from overly short segments. |
Recall count (Recall Count) | 8 | Ensures coverage of multiple relevant clauses or steps that may be involved in process validation, improving Q&A accuracy. |
Similarity threshold (Similarity Threshold) | 0.75 | For rigorous procedural texts, a higher threshold ensures precise matching of recalled content, preventing misinformation. |
httpRequest timeout (HTTP Request Timeout) | 60 seconds | Most internal system interfaces respond quickly; this provides ample time for occasional network delays or complex queries. |
Three Common Mistakes
- After uploading a file in the workflow, the system fails to correctly identify the file type or content, preventing subsequent nodes from processing it. This occurs due to unconfigured or inaccurately configured file type recognition rules, or the lack of Optical Character Recognition (OCR) processing for scanned documents.
- When using an HTTP request in the workflow to query an external system, the returned result is empty or not as expected. This usually happens because the HTTP request's URL, headers, or body parameters are misconfigured, or the external system's authentication mechanism is not handled.
- The workflow execution stalls for an extended period at an approval node. This could be because the approver did not receive a notification, or the approval process configuration lacks valid personnel role mapping.
How to Verify Correct Configuration
- Upload a process validation SOP document containing tables and charts. Check if it can be correctly parsed into text and if key fields are extracted.
- Build a simple Q&A flow. Ask questions about specific clauses in the SOP and verify that relevant paragraphs are accurately recalled and correct answers are provided.
- Simulate an external system query within the workflow, such as querying production data for a specific batch. Verify that the HTTP request node successfully calls the external interface and retrieves the expected results.
- Trigger a workflow instance that includes conditional judgments and branching. Ensure that the execution paths under different conditions align with expectations.
Note: The values provided are common starting points and should be measured against specific 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.