Deployment and Upgrade for Supplier Audit Regulations

Data Characteristics

Supplier audit regulation data primarily originates from internal quality management system documents, supplier management manuals, audit report templates, non-conformance records, and relevant regulatory standards. These documents are typically in PDF, Word, or scanned image formats. Updates are driven by audit cycles and regulatory changes, usually occurring quarterly or annually. However, processes for handling major non-conformances might update in real-time. Document structures often include chapter headings, clause numbers, specific requirement descriptions, flowcharts, and attachments. Common audit items involve fields such as audit date, supplier name, auditor, non-conformance description, corrective actions, and completion date. There are no unified numerical units; descriptions are primarily text-based.

Constraints from Data Characteristics on Deployment and Upgrade

The update frequency for supplier audit regulation documents is relatively low. However, a single update might involve revisions to multiple linked files. This requires a deployment solution that supports incremental updates and version management for document batches. Documents contain numerous flowcharts and tables, demanding strong complex layout recognition capabilities from the parser to ensure complete information extraction. Non-conformance descriptions in audit reports are often free-form text. This requires deep semantic understanding from the text vector model to accurately capture subtle compliance issues. Furthermore, due to compliance requirements, high demands exist for data security and isolation. Private deployment is a common choice, and attention is necessary for database connection stability and permission management.

Configuration Recommendations

Configuration Item	Recommended Value	Rationale
`UPLOAD_FILE_MAX_SIZE`	`500 MB`	Supplier audit reports and regulation documents can be large due to numerous images and scanned pages.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Complex PDF document parsing can be time-consuming; this prevents parsing failures due to timeouts.
`Chunk size`	`800–1200 characters`	Ensures each segment contains sufficient context while preventing individual segments from being too long and diluting key information.
`Recall count`	`Top 8 entries`	Audit regulation queries often require cross-verification from multiple angles; increasing recall improves hit rate.
`Similarity threshold`	`0.75`	Ensures retrieved results are highly relevant to the query intent, reducing interference from inaccurate information.
`maxContext`	`3000 Tokens`	Audit regulation Q&A typically requires a longer context to understand complex clauses and processes.

Common Pitfalls

After deployment, the login screen displays "Database Connection Failed" (Database connection failed), and logs show ECONNREFUSED or Access denied. This usually indicates the database service is not running, the database address is misconfigured, or the database username/password is incorrect.
Uploading a large audit report PDF file results in a File parse timeout error in the logs. This occurs when the PARSE_FILE_TIMEOUT_SECONDS parameter is set too low, not allowing enough time for complex document parsing.
Querying "vendor How to Handle Audit Non-Conformities" (How to handle supplier audit non-conformances) returns unexpected results or misses critical steps. This might be due to overly large document segmentation granularity, causing relevant information to be split across different segments, or insufficient understanding of specific technical terms by the vector model.

Verification Steps

Upload a typical supplier audit regulation document containing flowcharts and tables. Check if the document's segmentation in the knowledge base is complete and if table content is correctly extracted.
Ask multi-turn complex questions based on core clauses and processes in the audit regulations. Verify if the AI Agent's answers are accurate, coherent, and cite original sources.
Simulate uploading multiple large audit report files concurrently. Observe system resource usage to confirm file upload and parsing processes do not experience abnormal interruptions or prolonged unresponsiveness.
Log in with a low-privilege account and attempt to access or modify knowledge base content outside its authorized scope. Confirm the permission control mechanism is effective.

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.