Model Access and Configuration for Commercial Real Estate

What the data for this category looks like

Commercial real estate yield-related data comes primarily from real estate operation management systems, property transaction filing platforms, and regional commercial format monitoring databases. Core data update cadence falls into two categories: rental data updates monthly, and valuation data updates quarterly. Individual records are stored in structured JSON or CSV format. They include project unique identifier, business format classification, occupancy rate, unit rent, capitalization rate, and statistical cycle fields. Field units are defined as follows:

Project identifier: string
Business format classification: enumerated string
Occupancy rate: dimensionless ratio value
Unit rent: yuan/square meter·month
Capitalization rate: dimensionless ratio value
Statistical cycle: date string

What constraints these characteristics impose on model access and configuration

The enumerated attribute of business format classification requires configured validation rules. This prevents invalid input from interfering with model calculations. The two-cycle update cadence requires dual scheduled tasks. This ensures timely synchronization of data across different dimensions. The specific units of unit rent and capitalization rate require unified formatting during vector database import and prompt configuration. This avoids model confusion of numerical dimensions. Batch query scenarios have a high usage proportion. Adjust concurrency and batch parameters for vector recall to avoid interface rate limiting or timeouts.

How to set configurations

Configuration Item	Recommended Value	Rationale
`embedding_batch_size`	`16–32`	Commercial real estate single record data has moderate length. This batch range balances vector import efficiency and interface load
`sync_schedule`	`0 0 2 * * && 0 0 4 * *`	Matches the update cadence of monthly rental data (synchronized on the 2nd of each month) and quarterly valuation data (synchronized on the 4th of the first month of each quarter)
`vector_recall_top_k`	`Top 8–12 entries`	Commercial real estate has a large number of project dimensions. An appropriate number of recall entries covers historical data for relevant formats and rent ranges
`prompt_template_custom`	`Please calculate the yield rate of the target project based on the provided structured commercial real estate project data. Retain the original dimensionless ratio value in the output result, and do not add additional unit conversions or descriptive content`	Clarifies field unit requirements to avoid model confusion of numerical values across different dimensions
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Batch CSV import requires long parsing time for single batch of data. This duration prevents timeout interruptions

The parameter values provided on this page are common recommended 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 errors

Symptom: Knowledge base interface calls return 400 Bad Request with the prompt "field format mismatch". Cause: Enumerated validation rules for business format classification are not configured, and a classification value outside the preset enumerated list is entered.
Symptom: Applications directly return original calculation results without passing them as context to downstream models. Cause: The tool_call_mode parameter is not set to context_only, causing tool call results to be output directly without being stored in the knowledge base context.
Symptom: Scheduled synchronization tasks fail to trigger multiple times, with logs showing ETIMEDOUT network timeout errors. Cause: Synchronization task scheduling frequency does not match the data update cycle, and repeated requests to the source interface trigger rate limiting.

How to confirm the configuration is complete

Upload a single structured commercial real estate data file, and check that the UPLOAD_FILE_STATUS field in the management interface displays "Parsed".
Manually trigger a scheduled synchronization task, and verify that the synchronization log includes records for monthly rental data and quarterly valuation data synchronization.
Initiate a knowledge base recall test, and confirm that the number of returned results matches the configuration value of vector_recall_top_k.
Enter a query that includes a custom business format classification, and check that the model output does not contain formatted error prompts.

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.