What the data for this category looks like
Commercial property data sources include official real estate registration documents, lease ledgers, property operation reports, business district passenger flow monitoring data, and more. Update cycles fall into two categories: static and dynamic. Real estate registration documents and property ownership certificates are statically updated, only when the property rights subject changes. Lease contracts and operation reports are updated monthly. Business district passenger flow data is updated weekly. Document structures include three types: structured reports, unstructured scanned documents, and long-text contracts. Fields include building area (unit: square meters), rent (unit: yuan/square meter/day), lease term, property address, property right number, and more. Some operation reports include sub-segmented business revenue proportion fields.
What constraints these characteristics impose on the citation traceability link
Multiple types of data sources and differentiated update cycles for commercial property require the traceability link to distinguish metadata identifiers of different documents, preventing cross-type data confusion. Different update frequencies require the traceability link to associate the last update timestamp of each file, ensuring retrieved results are the latest valid data. Fields have exclusive attributes with specific units, requiring the traceability link to retain consistent unit verification for fields, avoiding unit mixing. Commercial property data involves core compliance information such as property rights and leases, requiring the traceability chain to fully record full process logs of file upload, parsing, and retrieval, meeting traceability requirements for citations in due diligence reports.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
retrieval count | top 8-12 | Commercial property due diligence reports cover multi-dimensional data including property rights, leasing, operations, etc. Excessive retrieval counts introduce redundant information, while insufficient counts miss key associated data |
similarity threshold | 0.72-0.85 | Commercial property data has many fields with high correlation. A low threshold introduces irrelevant data, while a high threshold misses valid associated data from the same business district |
| `PARSEFILETIMEOUT_SECONDS | 300 seconds | Commercial property registration documents and long lease contracts may include multi-page scanned documents or long-paragraph text, which take longer to parse. This setting prevents the parsing process from timing out |
chunk length | 1000-1200 characters | Commercial property lease contracts and operation reports contain long-paragraph content. Excessively long chunks lose contextual semantics, while excessively short chunks destroy the integrity of contract clauses |
metadata extraction switch | Enabled | Commercial property data requires traceability of exclusive metadata such as property right number and lease term. Enabling this switch enables automatic extraction and association with retrieval results |
traceability log retention period | 180 days | Financial due diligence scenarios require retaining at least six months of traceability records to meet compliance audit requirements |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Issue: Knowledge base search results do not associate the specified commercial property exclusive data source. Cause: Variable reference assignment rules are not configured correctly, and the label for the exclusive data source is not bound.
- Issue: Contextual breaks appear in retrieval results after parsing long commercial property lease contracts. Cause: The set
chunk lengthis too short, destroying the semantic integrity of lease contract clauses. - Issue: The system prompts insufficient disk space. Cause: A reasonable redundant data cleanup strategy is not configured, and storage paths for original files, chunks, and embedding vectors are not differentiated, leading to accumulation of redundant data.
How to confirm the configuration is correct
- View the metadata extraction logs of the knowledge base to confirm that exclusive commercial property fields such as building area and property right number have been extracted.
- Initiate a citation traceability test for a due diligence report, check that the source file path and parsing timestamp of retrieval results are complete.
- Adjust the
similarity thresholdand compare retrieval results, confirm that the threshold value meets the matching accuracy requirements of the current scenario. - View the system's disk usage monitoring to confirm that the storage proportion of original files, chunks, and embedding vectors meets expectations.
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.