What the Data for This Category Looks Like
Specialized equipment research report data primarily comes from public statistics from industry associations, official technical documentation from leading manufacturers, and securities firm research reports focused on the mechanical equipment sector. Updates are primarily monthly industry research reports, while manufacturer new product parameter documents are released irregularly alongside product iterations. Most documents are in PDF format, containing structured parameter tables and long-form technical analysis. Core fields include equipment model, rated power, operating speed, production capacity efficiency, and more. Units mostly use international standard units such as kW, r/min, t/h. Some specialized subcategories will include operating condition test data.
Constraints on Tool Calling and Plugins
The mixed structure of structured parameters and long-form text in specialized equipment research reports requires plugins to preserve table structures and core parameter fields during parsing, avoiding breakdown of structured information. The irregular update rhythm requires tool calling to support custom data source refresh trigger logic, allowing on-demand synchronization triggers. Differences in document formats across multiple sources require plugins to support extraction of embedded tables and chart text from PDFs, while configuration parameters must accommodate layout variations across documents from different manufacturers.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Specialized equipment research reports are mostly long PDFs with embedded tables and charts, leading to significantly longer parsing times than general documents |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single files of equipment technical documentation from some leading manufacturers have large sizes, requiring support for large file uploads |
maxContext | 800–1200 characters | Core parameter-related paragraphs in specialized equipment research reports are mostly 300-800 characters long. Preserving context during segmentation prevents breaks in parameter associations |
Recall Count | Top 8 results | Parameter correlation in specialized equipment research reports is high. Excessive recall will introduce irrelevant industry analysis content |
Similarity Threshold | 0.75–0.85 | Parameter descriptions for specialized equipment have high similarity, requiring filtering of redundant retrieval results with low relevance |
PARSE_TABLE_ENABLE | Enabled | Specialized equipment research reports contain large numbers of structured parameter tables. Preserving table structures improves retrieval accuracy for core parameters |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: After uploading a specialized equipment research report, the parsed output does not retain structured parameter tables. Cause: The
PARSE_TABLE_ENABLEconfiguration item is not enabled, so the parsing plugin does not extract embedded parameter table content from the PDF. - Issue: After retrieving the knowledge base via API, the returned results do not include the source file name used. Cause: The knowledge base's file provenance configuration is not enabled, or the API request parameters do not specify returning file metadata fields.
- Issue: After replacing the built-in document parsing tool, uploaded files always fail to parse. Cause: The
PARSE_ENGINEconfiguration item was not modified to point to the new parsing plugin address, and authentication parameters required for the plugin were not configured.
How to Verify Correct Configuration
- Upload a specialized equipment research report containing a structured parameter table, review the parsed text content, and confirm that the table structure is preserved.
- Trigger a knowledge base synchronization operation, wait for synchronization to complete, then search for keywords for a specific equipment model, and confirm that the returned results include the newly uploaded document content.
- Call the API to initiate a retrieval request, check whether the returned results include the source file name and path information.
- Adjust the
Similarity Thresholdconfiguration item, initiate a repeated retrieval, and confirm that the number of returned results changes in response to adjustments to the 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.