Data Characteristics
CSO (Contract Sales Organization) regulations and SOP (Standard Operating Procedure) documents in the biopharmaceutical industry have specific characteristics. These documents typically originate from pharmaceutical companies, internal compliance departments, or legal departments of CSO companies. They are stored in formats like PDF, Word, and Excel. Data update frequency is relatively low, occurring mainly after regulatory policy adjustments, company strategy changes, or annual reviews. Document structures are rigorous, containing extensive terminology, regulatory clauses, flowcharts, and approval chains. Common fields include document number, effective date, revision version, scope, responsible department, operating steps, risk warnings, and related form attachments. Units often involve time periods (e.g., "monthly," "quarterly"), quantities (e.g., "3 person-times," "5 documents"), and monetary amounts (e.g., "RMB yuan").
Constraints Imposed by These Characteristics on Workflow Orchestration
The rigorous nature and low update frequency of CSO regulation documents require special attention to knowledge base construction and retrieval strategies during workflow orchestration. Complex flowcharts and approval chains within the documents demand that workflows support multi-step, multi-branch logical judgments. Workflows must accurately identify and extract key responsible departments and operational sequences. The presence of extensive industry terminology and regulatory clauses necessitates strong semantic understanding to prevent inaccurate retrieval due to synonyms or near-synonyms. A lower update frequency means the knowledge base's incremental update mechanism needs optimization. This ensures quick replacement of old versions upon new regulation releases while retaining historical versions for traceability. Time, quantity, and monetary units in the documents require workflows to identify units and quantify information during extraction, supporting more precise question answering.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 3000-4000 characters | CSO regulation documents are often long, requiring a larger context window to capture complete semantics. |
Recall count (Retrieval Count) | Top 5-8 items | Regulation Q&A demands high accuracy; increasing retrieval quantity helps cover more relevant details. |
Similarity threshold (Similarity Threshold) | 0.75-0.85 | A higher threshold is needed to avoid incorrect retrieval due to similar terminology but different actual content. |
Rerank result count (Reranked Return Count) | Top 3 items | After reranking, the most relevant few pieces of information are sufficient for most Q&A needs. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large PDF or Word documents can be time-consuming; allow sufficient parsing time. |
Chunk size (Chunk Length) | 800-1200 characters | Ensures semantic completeness within a single chunk while controlling chunk size for easier retrieval. |
Three Common Mistakes
- Workflow nodes encounter a "Premature close" error when processing large regulation files. This typically results from file parsing or data transfer timeouts, failing to fully receive or process data.
- When calling external search tools (e.g., Tavily) within a workflow, search results are not effectively filtered. This introduces a large amount of irrelevant information, affecting the accuracy of the final answer.
- When addressing questions spanning multiple regulation files, the workflow fails to correctly integrate information from different sources. This leads to fragmented answers or omission of critical details.
How to Verify Configuration
- Select typical and complex CSO regulation questions. Verify the accuracy and completeness of the workflow's output answers and compare them with the original documents.
- Simulate a regulation document update scenario. After uploading a new version, test whether the workflow correctly identifies and references the latest content, and whether old version content is handled appropriately.
- For workflow nodes involving external API calls, check log outputs. Confirm successful interface calls, correct return data formats, and absence of timeout errors.
- Choose questions containing specific units (e.g., time, monetary amounts). Verify that units are correctly identified and retained when the workflow extracts and presents this information.
Note: 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.