Deployment and Upgrade for Semiconductor Intelligent Due

What Data for This Category Looks Like

The data for semiconductor intelligent due diligence reports comes primarily from foundries’ public capacity reports, supply chain inventory ledgers, patent databases, and order disclosures from downstream terminal manufacturers. Update cycles cover monthly capacity data, weekly inventory fluctuations, and real-time patent status changes.

Each due diligence document includes fields such as wafer process nodes, batch yield, downstream customer share, and quarterly revenue breakdowns. Fields must use standardized units: process nodes in nanometers, yield in percentages, and inventory turnover in days.

What Constraints Do These Characteristics Impose on Deployment and Upgrade?

The characteristics of semiconductor due diligence data create multiple constraints for deployment and upgrade. Each document is lengthy and contains many structured professional parameters. The parsing phase requires longer timeout windows, and extraction rules for specific field units must be configured.

Data source update cycles vary: monthly capacity, weekly inventory, and real-time patent data require different pull intervals. The upgrade process must support incremental sync configuration to avoid excessive system resource usage from full syncs.

Professional parameters have strict precision requirements. The deployment must use a domain-specific tokenization model, otherwise field extraction errors will occur.

How to Configure Settings

Configuration Item	Recommended Setting	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`600–900 seconds`	Single semiconductor due diligence documents contain many structured tables and professional parameters, so parsing time is significantly longer than generic documents
`UPLOAD_FILE_MAX_SIZE`	`2000 MB`	Semiconductor due diligence documents may integrate multiple capacity reports, patent documents, and supply chain ledgers, resulting in large individual file sizes
`SIMILARITY_THRESHOLD`	`0.75–0.85`	Semiconductor professional parameters have high semantic similarity requirements, so low-correlation recall results must be filtered
`RECALL_TOP_N`	`Top 8–12 entries`	Semiconductor due diligence requires coverage of process, supply chain, revenue and other dimensions. Too few recall results will lose key decision-making basis
`PARSE_STRUCTURED_TABLE`	`Enabled`	Semiconductor due diligence documents contain large amounts of standardized tabular data. Enabling structured parsing improves field extraction accuracy
`SYNC_INCREMENTAL_INTERVAL`	`15–60 minutes`	Different data sources have varying update cycles. Flexible incremental pull interval configuration matches data update rhythms

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Errors

Scenario: When uploading a semiconductor due diligence document larger than 1000 MB, a timeout error is reported in the interface, but the upload actually completes in the background. Cause: UPLOAD_FILE_MAX_SIZE is not configured to match the size of semiconductor documents, and PARSE_FILE_TIMEOUT_SECONDS is not adjusted synchronously. This causes a mismatch between the frontend timeout prompt and background progress.
Scenario: After the container starts, port 3001 is accessible normally, but port 3000 does not respond. Cause: Firewall rules for port 3000 are not opened during deployment, or the API_PORT configuration item does not match the container's mapped port.
Scenario: After configuring the semiconductor due diligence workflow, multi-turn conversations cannot be continued, but a simple knowledge base application supports normal multi-turn conversations. The current version is v4.8.10. Cause: The context association switch is not enabled for workflow nodes, and the maxContext parameter is not configured to retain historical query parameters.

How to Verify Successful Configuration

Upload a standard semiconductor due diligence document, and check whether preset fields such as process nodes and yield are extracted in the backend parsing logs, and whether the field units match expectations.
Call the interface to test application responses, and check whether the returned results include relevant content about semiconductor professional parameters, and whether the number of returned entries matches the configured RECALL_TOP_N value.
Check the running logs of the incremental sync task, and confirm that the pull cycles of different data sources match the configured SYNC_INCREMENTAL_INTERVAL.
Verify port mapping and firewall rules, and confirm that port 3000 can receive external requests normally, and matches the value of the API_PORT configuration item.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.