What Data for This Category Looks Like
Data for dairy industry research reports primarily comes from monthly operation reports released by the China Dairy Industry Association, quarterly financial reports of listed dairy enterprises, and quarterly in-depth research reports from third-party consulting institutions. Update schedule: Monthly tracking data is updated weekly, while quarterly in-depth reports are released at the end of each quarter.
Most documents include structured tables, embedded line charts, and text analysis paragraphs. Common fields include raw milk purchase price (unit: yuan per kilogram), liquid milk shipment scale (unit: ten thousand yuan), ranch herd size (unit: head). Embedded Excel monthly sales details typically include fields such as date, product SKU, sales volume, and revenue. Some tables have header structures that span multiple rows and columns.
Constraints Imposed on Document Parsing and Chunking
The multi-source format, high density of structured content, and segmented field characteristics of dairy industry research reports create multiple constraints for the parsing and chunking process. Differences in multi-source document formats require parsing logic to adapt to various carriers, including PDF-embedded tables and Word-embedded Excel files. Merged cell header structures require preserving the connection between headers and data during parsing to prevent field misalignment. Embedded Excel files with multiple worksheets and multi-row SKU data per table require chunking by worksheet or row to avoid mixing unrelated content. Large quarterly research report files require the parsing process to have sufficient timeout fault tolerance and parallel processing capabilities.
Configuration Settings
This configuration applies to the FastGPT v4.8.12-alpha open source version. Specific parameter settings are listed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_MERGE_CELL | Enabled | Most dairy industry research report tables have cross-row and cross-column merged headers. Enabling this option can fully extract the association between headers and corresponding data |
UPLOAD_FILE_MAX_SIZE | 20 MB | Dairy industry quarterly research reports often contain multiple embedded tables, with single file sizes mostly in the 10-15 MB range. This setting covers most scenarios |
EXCEL_SPLIT_MODE | Split by row | Each row in dairy industry research report Excel tables corresponds to a single SKU or monthly data. Splitting by row ensures complete semantics for a single chunk of data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing 15 MB dairy industry research reports takes a long time. Extending the timeout avoids parsing interruptions |
ENABLE_PARSE_EXCEL_SHEET | Enabled | Dairy industry research report Excel files often contain multiple worksheets for sales volume, price, and inventory. Enabling this option allows parsing each worksheet separately |
CUSTOM_SPLIT_LENGTH | 800–1000 characters | A single paragraph of analysis text in dairy industry research reports is about 300-500 characters. Pairing this with table chunks ensures complete contextual association |
The parameter values provided on this page are common recommended starting points for configuration. Actual values vary based on material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test settings on in-house samples before finalizing.
Three Common Configuration Mistakes
- Scenario: Multiple rows of SKU data are merged into a single chunk after Excel import. Cause:
EXCEL_SPLIT_MODEis not set to split by row. The default setting splits content using document-wide separators, leading to incorrect separation of multi-row data within the same worksheet. - Scenario: A dairy industry research report Word file around 15 MB in size throws a
504 Gateway Timeouterror during parsing. Cause:PARSE_FILE_TIMEOUT_SECONDSis not adjusted. The default timeout duration is insufficient for parsing large files. - Scenario: Parsed research report content has misaligned merged cell headers. Cause:
PARSE_TABLE_MERGE_CELLis not enabled. This causes cross-row and cross-column header content to be split into separate independent fields that cannot match their corresponding data.
How to Verify Correct Configuration
- Upload a dairy industry research report PDF with merged cell tables, and confirm that parsed table headers are complete with no misalignment or splitting.
- Upload a dairy industry research report Word file larger than 10 MB, and verify that the parsing task completes within the configured timeout period.
- Upload a dairy industry research report Excel file with multiple worksheets, and confirm that independent chunked content for each worksheet is generated in the knowledge base.
- Submit a query for a single SKU data entry, and verify that returned results only include complete data for that product with no cross-SKU content mixing.
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.