What the Data for This Category Looks Like
Baijiu research report data primarily comes from securities firm research institutes, food and beverage industry associations, and public financial reports and announcements of listed liquor companies. Update frequency adjusts based on industry trends and financial reporting cycles. In-depth analysis reports are released monthly, while industry tracking reports are released weekly. Document structures include sections such as abstracts, industry fundamental data, sales and price data for segmented liquor categories (premium, super-premium, regional liquor), and profit forecasts. A large number of structured tables are embedded, with fields including revenue, sales volume, gross margin, terminal selling price, and more. Common units are 100 million yuan, kiloliters, and percentage.
Constraints Imposed on Document Parsing and Chunking
The large number of embedded structured tables in baijiu research reports requires the parsing link to accurately identify table structures, and avoid splitting table content which would break data associations. The relatively fast update rhythm requires the parsing process to have reasonable processing duration, and avoid failing to upload new research reports to the repository in time due to timeout. The multi-dimensional differences in fields and units require the parsing link to automatically identify and standardize units, and avoid content with mixed units after chunking. The high proportion of long documents requires the chunking logic to retain contextual associations, and avoid cutting off cross-paragraph industry analysis logic.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to long paragraph analysis and structured table content in baijiu research reports, retains contextual associations while controlling chunk redundancy |
chunk_overlap | 100–150 characters | Prevents chunking from breaking critical industry data associations, ensures content continuity between adjacent chunks |
parse_table_mode | markdown | Baijiu research reports contain a large number of structured tables for revenue and price data, converting to markdown format facilitates subsequent retrieval and content restoration |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to the page count of in-depth baijiu research reports, avoids task failure due to parsing timeout |
enable_ocr | Enabled | Covers parsing requirements for scanned industry research reports, restores embedded tables and text content |
max_table_chunk_size | 1500 characters | Retains complete data sets when splitting large tables, avoids excessive splitting of table content |
The parameter values provided on this page are all 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: After uploading a baijiu research report PDF, the parsing node shows no working status. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not set reasonably. The parsing time of in-depth research reports exceeds the default threshold, causing the node to fail to trigger. - Phenomenon: Some PDF files cannot be recognized, and empty parsing results are returned. Cause: The
enable_ocrconfiguration item is not enabled. Scanned industry research reports cannot be recognized by the text parsing engine. - Phenomenon: Duplicate baijiu revenue data entries appear during retrieval. Cause: The
chunk_overlapparameter is set too large, resulting in a large amount of overlapping content between adjacent chunks, leading to repeated hits during recall.
How to Verify That Configurations Are Applied
- Upload a 10+ page in-depth baijiu research report PDF, check the parsed chunk list, confirm that each chunk contains complete paragraphs or table fragments.
- Upload a scanned baijiu research report, check whether the parsed result contains retrievable text content, confirm that the
enable_ocrconfiguration has taken effect. - Modify the
chunk_sizeparameter, re-upload the same research report, compare the change in the number of chunks, confirm that the configuration has been read and applied by the system. - Check the parsing log, confirm that table content has been converted to markdown format, verify that the
parse_table_modeconfiguration has taken effect.
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.