Data Characteristics for This Category
Data sources for recombinant protein regulations and SOP documents typically include internal Quality Management Systems (QMS), R&D record systems, Manufacturing Execution Systems (MES), and regulatory databases. These documents have a low update frequency, usually only a few times a year or once every few years, coinciding with regulatory updates, technological advancements, or production process adjustments. Document structures are hierarchical, comprising general principles, responsibilities, flowcharts, operating procedures, record forms, and appendices. Common fields include batch number, product code, production stage, quality control indicators, limit values, equipment ID, operator ID, approver, and effective date. Units include standard measurements like milligrams (mg), milliliters (mL), moles (mol), percentages (%), and biology-specific units such as activity units (IU) and concentration units (μg/mL).
Constraints Imposed by These Characteristics on Tool Calling and Plugins
The low update frequency of recombinant protein regulation documents means real-time requirements for tool calling are relatively low. Offline processing or periodic batch updates are acceptable. The hierarchical document structure requires tool calling to identify and process nested information. For example, an SOP might reference multiple guidance documents or attachments, necessitating plugins capable of deep parsing and linking these references. The presence of structured fields like quality control indicators and limit values provides a basis for parameterized queries, allowing plugins to extract specific values directly from documents for comparison or calculation. Furthermore, biology-specific units and activity units require plugins to have unit recognition and conversion capabilities to avoid confusion during data comparison or result presentation. Accurate identification of key fields such as batch numbers and production stages is essential for precise Q&A and process traceability.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 50 MB | Recombinant protein SOP documents often contain charts and attachments, potentially leading to large file sizes. Sufficient upload space is necessary. |
Chunk size (Segment Length) | 800–1200 characters | Regulation SOPs have long paragraphs with detailed steps and descriptions. Increasing the segment length helps maintain contextual integrity. |
Recall count (Recall Count) | 8 entries | Ensures coverage of multiple relevant sections or regulations in complex regulatory queries, providing more comprehensive information. |
Similarity threshold (Similarity Threshold) | 0.75 | Regulatory texts are highly rigorous. A higher threshold helps filter out semantically irrelevant or only partially matching content. |
Rerank result count (Rerank Return Count) | Top 5 entries | After reranking, ensures the most relevant core regulatory provisions are displayed first, improving user efficiency in obtaining information. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Processing regulatory documents with numerous charts and complex tables can take a long time. This prevents timeouts. |
Three Common Pitfalls
- Symptom: Tool calling returns empty or incomplete reference content after connecting to the internet. Reason: The plugin fails to correctly parse the target website's structure, preventing extraction of expected regulatory text or key data fields.
- Symptom: When calling a locally deployed large model during a conversation, the error
{"object":"error","message":"Only allowed now"}is returned. Reason: The authentication mechanism of the custom large model interface does not match the platform's preset, or the API key is misconfigured, leading to call failure. - Symptom: Queries for specific recombinant protein batch numbers fail to link to all relevant regulatory documents. Reason: Key metadata such as batch numbers were not sufficiently extracted during document embedding, preventing accurate matching during the vector recall phase.
How to Verify Configuration
- Upload representative recombinant protein regulation documents and test their parsing results. Check if key fields (e.g., batch number, quality control indicators) are correctly identified and extracted.
- Test with queries containing specific biological units (e.g., IU, μg/mL). Observe whether the numerical values and units returned by tool calling are consistent or correctly converted.
- Simulate user queries involving different levels of regulations (e.g., general principles, specific SOPs, appendices). Verify that the plugin can accurately retrieve and link to all relevant document snippets through tool calling.
Note: The values provided are common starting points. Measure against your own samples for optimal performance.
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.