What the data for this category looks like
Commercial real estate investment research data sources include project operation ledgers, regional business research reports, urban commercial land use planning documents, and competitor business format survey documents. Update cadences cover monthly operation data, quarterly industry research reports, and annual planning updates. Documents include long-text regional analysis, structured rent and area tables, charts showing business format proportions. Fields involve rentable area, average monthly rent, occupancy rate, and other metrics. Units include square meters, yuan per square meter per month, and similar units.
What constraints do these characteristics impose on document parsing and chunking?
The mixed structure and high-frequency update features of commercial real estate documents create multiple constraints for parsing and chunking. Structured tables account for a large share of content. Retain cell content and format to avoid misalignment or lost fields. Long text paragraphs require reasonable chunking. Ensure contextual connections between project location, rent data, and business format information are not interrupted. Bulk imported monthly ledger files have large file sizes. Adapt to stable parsing timeout settings. Some old documents use scanned formats. Support OCR parsing to extract text content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Commercial real estate documents contain large numbers of structured rent and area tables. Retaining table structure improves retrieval accuracy |
PARSE_CHUNK_SIZE | 800–1200 characters | Commercial real estate research report paragraphs are long. Chunking must retain contextual connections between project, regional, and rent data to avoid splitting critical information groups |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large commercial real estate project ledgers or long research reports takes significant time. Avoid parsing failures caused by timeouts |
UPLOAD_FILE_MAX_SIZE | 500 MB | Bulk imported project operation ledger packages have large sizes. Adapt to multi-file batch upload scenarios |
PARSE_SCAN_ENABLE | Enabled per document type | Some old project documents are scanned PDFs. Enable OCR parsing for these. Electronic documents do not need this enabled to save resources |
CHUNK_OVERLAP_RATE | 10–15% | Commercial real estate data has strong associations. Overlapping chunks ensure cross-paragraph rent and business format information is fully retrieved |
The parameter values provided on this page are common starting points for configuration. 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.
Three common errors
- Uploading commercial real estate PDF documents returns
413 Request Entity Too Largeerror. The cause is failure to adjust theUPLOAD_FILE_MAX_SIZEparameter. The default value cannot support large project documents. - Rent table fields in the parsed knowledge base are empty or misaligned. The cause is failure to enable the
PARSE_TABLE_ENABLEparameter, or failure to configure correct table cell merge recognition rules. - When searching for project rent data, associated project location descriptions are split into different chunks. The cause is a too-small
PARSE_CHUNK_SIZEvalue, which splits complete paragraphs containing associated information.
How to confirm configurations are properly set
- Upload a typical commercial real estate operation ledger PDF, and check if the parsed result retains complete table structure and original field names.
- View the parsing task run log, and confirm that parsing time does not exceed the preset timeout setting.
- Randomly select a text segment containing project introduction and rent data, and check if it is fully contained in a single chunk.
- Test batch upload of multiple small operation documents, and confirm that the upload process does not trigger file size related 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.