What data looks like for this category
Commercial real estate financial report data comes primarily from commercial project operation monthly reports, annual property management reports, and publicly disclosed annual reports of real estate enterprises. Update cycles cover monthly, quarterly, and annual periods. Each document includes core fields for a single project or multiple combined projects: rental income, occupancy rate, square meter efficiency, property maintenance costs, and more. Some documents include attachments such as floor plans and tenant lists. Most documents present structured data in tables, with supplementary paragraph text descriptions. Many fields use composite units, including yuan/square meter·month, ten thousand square meters, and ten thousand yuan. Core indicators for commercial real estate financial reports focus on operational efficiency and tenant management, with composite unit fields and multi-project mixed content structures.
What constraints do these characteristics impose on the "document parsing and chunking" link
Composite unit fields and cross-paragraph associated data in commercial real estate financial reports require the parsing and chunking process to retain field context associations, and avoid splitting core data blocks. High-frequency updated monthly reports create batch parsing demands, requiring chunking logic to adapt to parallel processing of multiple documents. Single documents have large file sizes and include chart attachments, requiring the parsing process to support large file uploads and long-running tasks. The multi-project mixed content structure requires chunking logic to accurately split by project dimension, and avoid mixing data blocks from different projects. In addition, financial reports contain large amounts of tabular data, requiring the parsing process to adapt to table structure extraction, and avoid losing field association relationships.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single commercial real estate financial report PDFs often exceed 10 MB, with long parsing times. The default 300-second timeout cannot complete full parsing, adapting to the timeout configuration logic of version 4.8.10 |
UPLOAD_FILE_MAX_SIZE | 20 MB | Commercial real estate financial reports often include multi-page operation data charts and attachments, with single file sizes exceeding the default upper limit of general knowledge bases |
SPLIT_MAX_LENGTH | 800–1200 characters | Commercial real estate financial reports include composite unit fields and long sentence descriptions. Excessively long chunking reduces subsequent recall accuracy, adapting to the chunk length rules of version 4.8.10 |
SPLIT_OVERLAP_RATE | 10–15% | There are many cross-paragraph associated fields such as rental income and square meter efficiency. Retaining appropriate overlap avoids context breaks and ensures complete field association |
CUSTOM_PARSE_JS | Calibrated based on actual testing | Custom parsing logic for commercial real estate-specific fields such as square meter efficiency and occupancy rate is required, adapting to the platform's custom parsing capabilities |
SPLIT_BY_SEPARATOR | Triggered by [newline + tab] | Commercial real estate financial reports are mostly segmented by table rows or project dimensions, and general separators have poor adaptability, requiring adjustment to match the native document typesetting |
The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: When uploading a 10+ MB commercial real estate financial report PDF, the interface prompts
timeout of 360000ms exceeded. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted, and the default timeout duration is insufficient to complete parsing of large documents. - Issue: Composite unit fields such as rental income and square meter efficiency are split into different chunks in the chunking results, making it impossible to associate complete data during subsequent recall. Cause:
SPLIT_OVERLAP_RATEwas not set or the value was too low, and context associated with fields was not retained. - Issue: The custom parsing JS script does not take effect, and the parsing result does not extract the preset commercial real estate-specific fields. Cause: The script was not correctly bound to the corresponding configuration item, or the script logic did not adapt to the table typesetting structure of the financial report.
How to confirm the configuration is correct
- Upload a single commercial real estate financial report PDF of around 15 MB, check the background logs of the parsing task to confirm no timeout errors are triggered.
- Randomly select 3 chunking results, check whether composite unit fields such as rental income and square meter efficiency are completely retained in the same chunk without splitting.
- After enabling the custom parsing JS, check whether the parsing result includes the preset extracted commercial real estate-specific fields without missing values.
- Submit a batch parsing task, check the match between the number of chunked document blocks and the number of project chapters in the financial report, with no excessive splitting or merging.
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.