What data for this category looks like
Data sources for construction machinery research reports include industry association public reports, securities firm research reports, and official disclosure documents from original equipment manufacturers. Update frequency matches report release cycles, mostly monthly, quarterly, or annual. Document structures include core parameter comparison tables, market statistics tables, competitor analysis sections, and policy interpretation modules. Fields and units include rated power (kilowatts), operating radius (meters), bucket capacity (cubic meters), operating hours (hours), and sales volume (units). Some documents include multi-page charts and cross-page tables.
What constraints do these characteristics impose on document parsing and chunking?
Multi-source document formats and structured features of construction machinery research reports create multiple constraints for parsing and chunking. Cross-page nested tables and parameter-bound unit fields require retaining row-column associations and parameter-unit binding during parsing. This prevents semantic loss after splitting. Long policy analysis and competitor comparison sections need context-aware chunking logic. This stops excessive splitting from breaking semantic integrity. Some documents are in scanned format. This requires additional OCR recognition workflows and increases parsing time. Document formatting varies significantly across different publishers. This requires compatibility with diverse header, footer, and title hierarchy recognition rules.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Construction machinery research reports often contain multi-page tables and OCR scanned content. Parsing takes a long time, and 600 seconds covers most long document parsing requirements |
chunk_size | 800–1200 characters | Parameter comparison tables and analysis sections in research reports need to retain semantic relevance. This range balances context integrity and retrieval accuracy |
PARSE_ENABLE_OCR | Enabled | Some original equipment manufacturer disclosure documents are in scanned format. OCR is required to extract text and table content |
TABLE_PARSE_MODE | Retain row-column structure | Parameter tables in construction machinery research reports need to fully retain the binding relationship between parameters and units. This avoids information loss after table splitting |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some annual industry research reports have many pages, with large single-file sizes. This value covers most compliant documents |
RECALL_CHUNK_NUM | Top 8 entries | Parameters and analysis content in research reports are closely linked. An appropriate number of retrieved entries covers complete context information |
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. Specific issues require specific analysis. Testing on local samples is recommended before finalizing settings.
Three Common Mistakes
- When parsing scanned research reports, no valid parameter table content appears in returned results. Cause: The
PARSE_ENABLE_OCRconfiguration is not enabled. This prevents extraction of text and table information from scanned documents. - When uploading a single annual industry research report, parsing fails after exceeding 2 minutes. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted. The default timeout period is insufficient to complete long document parsing. - After uploading a research report table with multiple columns, the binding relationship between some parameters and units is lost. Cause: The
TABLE_PARSE_MODEconfiguration is not set to retain row-column structure. This causes the table to be split into scattered text blocks.
How to Verify Correct Configuration
- Upload a scanned construction machinery research report. Check whether the parsed result contains complete text and table content. Confirm that the OCR function is enabled as required.
- Upload a research report with a large number of pages. Check whether parsing time meets expectations. Confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration matches the document length. - Upload a research report containing nested tables. Check whether parsed chunked content retains the binding relationship between parameters and units. Confirm that the table parsing mode configuration is correct.
- Upload a large-volume research report file. Confirm that the upload is not blocked. Verify that the
UPLOAD_FILE_MAX_SIZEconfiguration covers the document volume range.
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.