What the data for this category looks like
Data sources for paper industry research reports include public industry research report platforms, public documents released by light manufacturing industry associations, and periodic reports of listed paper enterprises. Update cycles include quarterly regular industry analysis, monthly dynamic monitoring reports, and special reports issued after sudden raw material price fluctuations or policy releases. Document structures usually include industry overviews, raw material supply and demand data, finished paper production and sales data, and operating analysis of key enterprises. Some documents contain nested tables and image charts. Fields include indicators such as unit price, production capacity, output, and inventory, with corresponding units including yuan/ton, ten thousand tons, cubic meters, etc.
What constraints these characteristics impose on document parsing and chunking
Diverse data sources lead to inconsistent document formats. There are directly parsable Word and standardized PDF documents, as well as offline research reports in scanned format, so multi-format parsing logic needs to be adapted. Fast update cycles and sudden reports require controlling the time limit for single-batch tasks in batch parsing scenarios. A large number of nested tables and image charts in documents require the parsing link to retain structured information and avoid splitting cross-page chart content. Diverse field units require accurate identification of the unit type corresponding to indicators to avoid confusion between different measurement standards. Some research reports have custom chapter layouts, so chunking must follow the native chapter boundaries of the document to avoid splitting the same analysis paragraph.
Configuration settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Paper industry research reports often contain nested tables and long text passages, with higher parsing time than general documents |
chunk_size | 800–1200 characters | Research reports contain a large number of professional terms and coherent analysis passages. This chunk length can retain complete semantic units |
PARSE_TABLE_ENABLED | Enabled | The core retrieval content of research reports is mostly supply and demand, production and sales tables, so structured table information must be retained |
PARSE_IMAGE_OCR_ENABLED | Enabled | Some research reports are scanned documents or charts embedded in image format, so OCR is required to extract hidden text |
MAX_CHUNK_OVERLAP | 100–150 characters | Avoid splitting context across chunks and ensure semantic connection of cross-chunk content |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports batch uploaded research report collections or single large-scale research report documents |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common misconfigurations
- Phenomenon: When calling the knowledge base creation API, the returned result does not include the
parse_statusfield, making it impossible to obtain parsing in progress, ready, or failed status. Cause: API status synchronization configuration is not enabled, or the status notification switch is not configured in the request parameters. - Phenomenon: When parsing research reports containing nested tables, table content is split into scattered text, and the original row and column structure cannot be restored. Cause: The
PARSE_TABLE_ENABLEDconfiguration is not enabled, or the chunk length is set too small, causing the table to be forcibly split. - Phenomenon: After uploading a scanned paper industry research report, the parsed result does not extract text content from the chart. Cause: The
PARSE_IMAGE_OCR_ENABLEDconfiguration is not enabled, or the OCR recognition language parameter is not adapted to Chinese professional terms.
How to verify correct configuration
- Upload a standard paper industry research report PDF, check the parsed text content, and confirm whether the structure of nested tables is fully retained.
- Call the knowledge base parsing status query interface to check whether the corresponding fields containing parsing progress are returned.
- Upload a scanned paper industry chart, and check whether the parsed result extracts text content from the chart.
- View the chunked text fragments and confirm that the chunk length conforms to the preset chunk configuration parameters.
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.