What the data for this category looks like
Data sources for commercial real estate due diligence include real estate registration archives, project operation ledgers, business district passenger flow monitoring reports, project completion engineering drawings, and business attraction documents. Different data types follow distinct update cycles: real estate registration data updates quarterly, operation ledgers update monthly, and passenger flow monitoring data updates weekly. Document structures primarily use structured tables with fields such as rentable area and unit rent. They are supplemented by PDF-format project overview reports and CAD-format spatial layout drawings. Common units include square meters, yuan per day, and similar units.
What constraints do these characteristics impose on citation and traceability?
The multi-source, heterogeneous data characteristics of commercial real estate due diligence impose three constraints on citation and traceability. Each data source must be matched with a dedicated identifier: real estate registration data must be associated with a registration number, and operation ledgers must be bound to a unique project ID to avoid cross-project data confusion. Unstructured attachments such as CAD drawings and PDF reports must retain file hashes, upload times, and original storage paths. This ensures citations can locate the exact original file version. Multi-time granular update cycles require traceability to specify the exact data collection period, preventing mixing of quarterly registration data and monthly operation data. Structured fields must be bound to the corresponding report version, preventing reference mismatches across different batches of ledger data.
How to configure the settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
recall_top_k | Top 8-12 entries | Commercial real estate due diligence requires covering multiple data sources including registration, operation, and passenger flow data. Too many recalled entries will lead to redundant information, while too few will fail to cover core supporting materials |
enable_reference_hash | Enabled | Unstructured attachments such as CAD drawings and PDF files for commercial real estate often have duplicate names. Hash verification ensures that citations reference the original file version |
max_chunk_length | 800-1200 characters | Commercial real estate data includes structured tables and unstructured text. Segments that are too long will lose field association information, while segments that are too short will damage data integrity |
source_metadata_fields | ["project_id", "record_date", "file_hash"] | Must bind project ID, data collection period, and file hash to meet the needs of accurate traceability positioning for multi-source data |
similarity_threshold | 0.75-0.85 | Data from the same business type in commercial real estate has similar fields. A threshold that is too low will introduce irrelevant data, while a threshold that is too high will fail to recall associated data from the same project |
reference_citation_limit | No more than 15 entries | Intelligent due diligence reports must focus on core supporting materials. Too many citations will distract readers |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, 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 configuration errors
- Phenomenon: When setting the number of citations, intermediate values between 100 and 900 cannot be selected, and only the 100 or 900 preset options are available. Cause: The current citation count configuration is bound to discrete preset options, and custom input ranges are not enabled.
- Phenomenon: When attempting to cite content returned by an HTTP interface as a traceability source, the system prompts that the source cannot be recognized or the field is empty. Cause: The
external_source_metadataparameter is not configured to bind the unique identifier returned by the interface, resulting in the failure to generate valid traceability information. - Phenomenon: The version of the cited CAD drawing does not match the actual report, resulting in drawing misalignment. Cause: The
enable_reference_hashparameter is not enabled, and file hash verification is not performed, resulting in citation of an older version of the file with the same name.
How to confirm the configuration is properly set
- Upload the operation ledger and CAD drawings of a commercial real estate project, and check whether the file hash, upload time, and project identifier fields are displayed in the citation display module.
- Initiate an intelligent due diligence generation request, and verify that the collection period of the cited source matches the update cycle of the corresponding data source.
- Adjust the recall count configuration, and verify that the number of returned citation sources conforms to the preset value rules.
- Check whether the citations of structured fields are bound to the version information of the corresponding report to avoid cross-batch data confusion.
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.