What this type of data looks like
Power industry research report data mainly comes from public reports released by power industry associations, regular reports of listed power enterprises, segmented research reports from securities firms on the power industry, and operational data disclosed by State Grid and local power grid companies. Update cycles cover monthly, quarterly, and annual milestones. Monthly data mostly consists of regional grid operation briefings. Quarterly and annual data include industry supply and demand analysis and installed capacity statistics. Document structures include standardized tables, policy clauses, and project implementation details. Most fields relate to power production indicators, with units such as ten thousand kilowatts, hundred million kilowatt-hours, yuan per kilowatt-hour, and grams of standard coal per kilowatt-hour. Some documents have embedded charts that require extracting associated information between text descriptions and numerical values.
What constraints do these characteristics impose on the document parsing and chunking link?
The multi-source nature of power industry research reports leads to large differences in document formats. Some have structured layouts like securities firm research reports, while others use plain text formats like grid operation briefings. This requires adapting to different headers, footers, table nesting levels, and layout logic. Monthly briefings have short lengths but frequent updates, so duplicate chunking must be avoided. Annual reports have long lengths, so industry data and policy paragraphs need precise splitting to prevent cross-chapter data confusion. Power-related indicators have unique units. During chunking, the binding relationship between units and values must be retained to avoid situations where units are separated from their corresponding indicators after chunking. The text descriptions of embedded charts are separated from the chart bodies, so associated indexes must be established to prevent retrieval from returning only isolated descriptions or numerical content.
How to configure the settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
parse_mode | structured priority + plain text fallback | Adapts to the multi-format characteristics of power industry research reports, which include both structured tables and plain text briefings. Prioritizes extracting structured data before falling back to plain text content |
chunk_size | 800–1200 characters | Most industry data paragraphs in power research reports are 300–800 characters. This range preserves the full context of a single data set and avoids separating indicators from their units after chunking |
chunk_overlap | 100–150 characters | Policy clauses and data in power research reports are closely linked. Overlapping sections preserve logical connections across paragraphs and prevent loss of context during retrieval |
parse_table_enable | Enabled | Power industry research reports contain a large number of standardized data tables. Enabling this setting fully extracts fields and numerical values within tables and avoids missing key indicators |
parse_image_caption | Enabled | Embedded operational data charts in power research reports are paired with text descriptions. Enabling this setting establishes associations between descriptions and chart bodies and adds retrieval dimensions |
parse_excel_sheet | Specify valid worksheets | Excel attachments in power research reports may contain multiple worksheets. Specifying valid worksheets avoids extracting irrelevant test or redundant data |
The parameter values provided on this page are general recommendations for establishing a starting point for configurations. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Phenomenon: When parsing Excel data attachments included with power research reports, some fields such as installed capacity and on-grid electricity prices are empty, or units are separated from their corresponding values. Cause: The
parse_table_enableconfiguration is not enabled, or theparse_excel_sheetparameter is not used to filter valid data worksheets. - Phenomenon: When uploading long annual power research reports, the system returns a
408 Request Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSsetting uses the default value and does not adapt to the long format of power research reports. - Phenomenon: When retrieving power research reports, only isolated chart text descriptions are returned, and the core numerical values of the corresponding data charts are not associated. Cause: The
parse_image_captionconfiguration is not enabled, and no associated index is established between chart descriptions and main body data.
How to confirm configurations are properly set
- Upload a single monthly power industry briefing, view the parsed chunk list, and confirm that power indicators and their corresponding units in each chunk are not separated.
- Upload a research report attachment that includes an embedded Excel table, and check whether the parsed result fully extracts fields such as installed capacity and power generation from the table.
- Upload a research report with data charts, and confirm that the parsed result includes associated information between chart text descriptions and corresponding data.
- Upload a single long annual research report, view the execution logs of the parsing task, and confirm that no timeout-related error messages appear.
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.