What Data for This Category Looks Like
Data for specialized equipment intelligent due diligence reports comes from four primary sources: equipment factory certificates, third-party test reports, operation and maintenance log archives, and industry compliance standard documents. Two update rhythm categories apply: static updates for factory documents and compliance standards, and dynamic updates for operation and maintenance logs and on-site test records, which occur at the project level or in real time. Document structure includes standard fields: equipment model, serial number, rated parameters, operation cycle, test items, and compliance requirements. Supported units include professional measurement identifiers: rotational speed (rpm), pressure (MPa), operating duration (hours), and rated power (kW).
Constraints on Knowledge Base Retrieval and Recall
Retrieval must strictly match measurement identifiers for specialized equipment data’s professional units and structured fields, to avoid recalling content for unrelated equipment categories. Long documents and time-series operation and maintenance logs increase chunking difficulty. Retain contextual associations between parameters during processing. Manage dynamically updated operation and maintenance data in a separate database from static compliance documents. This ensures retrieval timeliness and accuracy. Large individual document sizes add extra pressure to upload and parsing stages.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single collections of factory test reports and operation and maintenance logs for specialized equipment often reach hundreds of MB. Bulk upload of large files must be supported. |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Parsing large operation and maintenance logs and multi-page test reports requires lengthy processing time. The default timeout duration is insufficient to cover the full parsing workflow. |
chunk_size | 800–1200 characters | Specialized equipment data contains many technical terms and units. Excessively long chunks break semantic associations between parameters. Excessively short chunks lose field context. |
recall_top_k | Top 8 results | Due diligence reports cover multi-dimensional content: equipment parameters, operation records, and compliance requirements. Too many recalled results add context redundancy. Too few results miss core information. |
similarity_threshold | 0.72–0.78 | Matching technical terms and units requires a relatively high similarity threshold. This avoids recalling parameter content for general equipment or non-corresponding categories. |
priority_field | Compliance test items, operating duration | Due diligence reports prioritize compliance and equipment operating status. Set retrieval priority for these core fields. |
The parameter values provided on this page are common starting points for configuration. Actual values vary based on material format, data volume, and business rules. Analyze specific issues on a case-by-case basis, and test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A
408 Request Timeouterror triggers when uploading large operation and maintenance logs, or parsing progress stalls. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient for large file parsing. - Symptom: Retrieval results do not prioritize core fields such as compliance test items and operating duration. Instead, large amounts of non-core equipment appearance descriptions appear. Cause: The
priority_fieldparameter was not configured, and no retrieval priority was set for core due diligence fields. - Symptom: When a query is unrelated to specialized equipment due diligence, the system still recalls equipment parameter content from the knowledge base to generate a response, without executing the preset designated reply logic. Cause: The
query_similarity_cutoffparameter was not set, and low-similarity queries were not routed to the designated reply workflow.
How to Verify Successful Configuration
- Upload the largest individual specialized equipment document. Check upload progress and parsing status. Confirm no timeout errors trigger, and verify returned
file-idandcollection-idmatch preset parameters. - Input a test query containing professional units and core fields. Check the ranking of recalled results, and confirm core field content returns first.
- Input a test query unrelated to specialized equipment due diligence. Check if the system routes to the preset designated reply, and confirm no content is recalled from the knowledge base.
- Batch upload documents of different sizes. Confirm parsing tasks adjust execution priority based on file size or upload order, and support manual pause and resume operations.
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.