What the data for this category looks like
The data for commercial real estate intelligent due diligence is primarily sourced from real estate registration archives, project surveying and mapping reports, tenant lease account books, surrounding business district passenger flow monitoring data, and property operation records. Update frequency follows two patterns: stock projects are synchronized and updated quarterly, while new projects complete their first update immediately after completion filing. A single due diligence report typically includes five core modules: project location, building parameters, tenant list, rental revenue, and compliance documents. Fields include building area (unit: square meters), unit rental price (unit: yuan/square meter/day), vacancy rate, contract expiration date, and some projects also include compliance attachments such as fire acceptance reports and environmental assessment documents.
What constraints do these characteristics impose on deployment and upgrade
Three core constraints arise from the characteristics of commercial real estate due diligence data for the deployment and upgrade process:
- A single due diligence package contains multiple types of attachments. Compliance documents and long-term tenant contracts for some projects can reach hundreds of MB in size per file. This requires configuring parsing and storage parameters adapted for large files during deployment.
- Fields include numerical data with specific units, such as building area measured in square meters and unit rental price measured in yuan/square meter/day. Field verification rules must be preset during deployment to prevent calculation deviations caused by unit confusion.
- Two update frequency patterns exist: quarterly updates for stock projects and real-time updates upon completion filing for new projects. The upgrade process must support switching between incremental synchronization and full update modes to adapt to the operation rhythms of different projects.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Commercial real estate due diligence packages often include multiple long-text attachments. 600 seconds covers the parsing time required for most large files |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Compliance attachments and long-term tenant contracts for some projects can reach hundreds of MB per file. 2000 MB meets the needs of most scenarios |
maxContext | 8000–12000 characters | Due diligence reports contain many core fields and associated information. Sufficient context must be retained to support accurate question answering |
RECALL_TOP_K | Top 8–12 entries | Commercial real estate due diligence data fields are scattered. A sufficient number of related entries must be recalled to cover multi-dimensional information such as tenants, rental prices, and project location |
SIMILARITY_THRESHOLD | 0.75–0.85 | Balance recall accuracy and coverage to avoid missing key compliance or rental data |
PARSE_CHUNK_SIZE | 1000–1500 characters | Adapt to the paragraph structure of commercial real estate reports. Avoid segments that are too long to impair recall accuracy, or too short to add context redundancy |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: A
401 Unauthorizederror is returned when calling the qwen-max model, and the interface prompts that the API key is invalid. Cause: The API key for the qwen-max model has not been correctly configured in the deployment environment's environment variables, or the key has not been granted permission to call the corresponding model. - Phenomenon: A
504 Gateway Timeouterror is returned when parsing a commercial real estate due diligence package larger than 500 MB in size. Cause:PARSE_FILE_TIMEOUT_SECONDShas not been adjusted to a value adapted for large files. The default timeout duration is insufficient to complete long-text parsing. - Phenomenon: When generating responses related to due diligence, knowledge base citation entries are only listed at the bottom of the response, and citation markers cannot be embedded within the response body. Cause: The deployed version does not support in-context citation functionality, or the corresponding configuration switch has not been enabled.
How to confirm configurations are properly set
- Upload a commercial real estate due diligence package of medium size, and verify that the parsing progress completes within the preset timeout duration. If parsing does not complete within the set time, adjust the value of
PARSE_FILE_TIMEOUT_SECONDS. - Enter a query statement that includes unit rental price and building area fields, and verify that the field units of the recalled results conform to the general standards for commercial real estate. If unit deviations exist, check the field verification configuration.
- Generate a question-and-answer response targeting a specified tenant contract, and verify the display position and format of citation markers. If citations only appear at the bottom of the response, adjust the corresponding configuration item or upgrade the platform version.
- Call the test interface for the specified model, and verify that the returned results include normal call logs. If permission errors occur, reconfigure the API key and corresponding permissions.
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.