What data for this category looks like
Data sources for black home appliance research reports include public reports from industry monitoring agencies, quarterly financial reports of home appliance manufacturers, offline retail terminal statistics, and online e-commerce platform sales data. Update cycles are primarily monthly and quarterly, with some retail segment data updated weekly. Document structures typically include abstracts, overall market size, sales volume by category, price tier distribution, channel share, upstream raw material price trends, and similar modules. Embedded tables, line charts, and bar charts are commonly included. Fields include sales volume (unit: 10,000 units), sales revenue (unit: 100 million yuan), average product price (unit: yuan per unit), and more. Some research reports include price data for upstream panels and chips.
What constraints do these characteristics impose on the "document parsing and chunking" link
Multi-format data sources require the parsing module to support multiple file types including PDF, Word, Excel, and PowerPoint. Multi-sheet Excel sales data tables and cross-page continuous tables require retaining sheet associations and contextual continuity for cross-page content during chunking. Frequently occurring charts and proprietary terms require avoiding separation of charts from their corresponding explanatory text during parsing. Data from different sources may have unit differences, so original fields and unit identifiers must be retained during chunking to prevent confusion. Additionally, parsing long research reports takes significant time, which creates clear requirements for timeout settings.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parse_file_type | pdf,docx,xlsx,ppt | Common formats for black home appliance research reports include PDF financial reports, Word research reports, Excel sales data tables, and PowerPoint presentations, covering mainstream input formats |
chunk_size | 800–1200 characters | Black home appliance research reports contain long paragraphs of market analysis and multi-column table data. This range retains the integrity of single-paragraph analysis while avoiding overly long single chunks that negatively impact retrieval accuracy |
chunk_overlap | 100–150 characters | Cross-page monthly sales tables and continuous channel share analysis require contextual continuity. The overlap range ensures key information is not truncated |
parse_excel_sheet | all | Excel files for black home appliance research reports often contain multiple sheets (such as sales volume by category, channel share, price tier data), so full sheet content must be read |
ocr_enable | false | The text layer of public research reports is complete, so no additional OCR recognition is needed. This avoids mistakenly converting image content into redundant text |
parse_timeout | 300 seconds | Parsing long research reports with more than 50 pages takes significant time. This duration covers parsing requirements for most scenarios |
The parameter values provided on this page are common 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 settings.
Three common mistakes
- Phenomenon: When parsing PPT-format black home appliance research reports, returned results only contain OCR-recognized text and no original images. Cause: The
ocr_enableparameter is not turned off, or full-document OCR is forcibly enabled, and the reference relationship of original images is not retained. - Phenomenon: When parsing Excel-format sales data tables, only the content of the first sheet is returned, and sales data from other sheets cannot be read. Cause: The
parse_excel_sheetparameter is not configured as the target sheet name orall, and only the first sheet is read by default. - Phenomenon: After importing PPT or Word-format black home appliance research reports and enabling PDF enhancement, no parsing results are obtained. Cause: The PDF enhancement function only adapts to PDF-format documents, and no compatible configuration is made for other file formats.
How to confirm the configuration is correct
- Upload a single-page fragment of a black home appliance research report, and check if the parsed result text completely retains tables, proprietary terms, and the original typesetting structure.
- Upload an Excel sales file containing multiple sheets, and verify if the parsed result includes all sheet names and corresponding data entries.
- Upload a research report document with embedded images, and check if the parsed result only retains text layer content and no redundant OCR-converted text appears.
- Upload a long research report with more than 50 pages, and check if the parsing task is completed within the preset timeout period without timeout errors.
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.