Multi-turn Dialogue and Prompt Engineering for Commercial Real Estate Marketing Content

This scenario falls under the commercial real estate marketing content segment within the finance, insurance, and wealth management industry. Data

Data Characteristics of This Category

This scenario falls under the commercial real estate marketing content segment within the finance, insurance, and wealth management industry. Data sources include commercial property registration records, leasing ledgers, on-site foot traffic monitoring data, and surrounding business district format reports. Update frequency: lease changes are synced in real time, project format adjustments are updated monthly, and business district reports are updated quarterly. Document structure includes structured ledgers (with fields including project ID, floor, area, etc.) and unstructured materials such as investment promotion brochures and format planning diagrams. Fields include building area (unit: ㎡), rental unit price (unit: yuan/㎡/day), peak foot traffic (unit: visitors/day), and some free text descriptions include project positioning and customer group characteristics.

Constraints for Multi-turn Dialogue and Prompt Engineering

The mixed structured and unstructured nature of commercial real estate data requires multi-turn dialogue to support both precise field matching and free text understanding. Real-time updated lease and foot traffic data requires the dialogue process to call the latest data sources in real time to avoid generating outdated marketing content. Significant differences in field formats across different commercial properties require prompts to adapt to the identification and field naming rules of individual projects, and generic templates cannot be used. Long unstructured documents and multi-turn historical context require setting reasonable thresholds for dialogue context length to avoid exceeding model processing limits.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersCommercial real estate investment brochures, leasing ledgers and other materials have a long total length, and need to cover the historical context and referenced data of multi-turn dialogues
recallTopKTop 6–10 resultsCommercial real estate data has many field types, and it is necessary to accurately recall project information related to the current inquiry
PARSE_FILE_TIMEOUT_SECONDS300 secondsComplete investment promotion document parsing for large commercial properties takes a long time, so the timeout threshold needs to be extended
UPLOAD_FILE_MAX_SIZE500 MBCommercial real estate project materials often include multi-page PDFs, high-definition format diagrams and compressed packages, so the upload limit needs to be relaxed
conversationInterruptEnabledUsers may adjust their inquiry direction at any time during marketing conversations, so support for interrupting the model generation process is required
exportWordTriggerTriggered at conversation completion nodeMarketing content needs to be exported after being fully generated to avoid incomplete exported content

The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: Two inquiries are sent consecutively in a short period, and the second dialogue waits for the first generation process to complete before responding. Cause: The conversationInterrupt configuration is not enabled, and dialogue requests are processed in a queue by default.
  • Phenomenon: An error "No permission to operate this conversation record" is returned when calling the API. Cause: No permission verification parameter for the conversation session is configured, or the session ID passed during the call does not match the current authorized subject.
  • Phenomenon: The conversation page displays as a new conversation after refresh, and existing records are lost. Cause: Session storage configuration items were not updated synchronously after upgrading to version 4.9.0, or the expiration time of the session cache was set too short.

How to Verify Proper Configuration

  • Two distinct inquiries sent within a short interval can be used to verify that the second dialogue immediately interrupts the first generation process, confirming that the conversationInterrupt configuration is correctly enabled.
  • A multi-page commercial real estate investment promotion document uploaded to the platform can verify that the upload and parsing process completes normally, confirming that the UPLOAD_FILE_MAX_SIZE and PARSE_FILE_TIMEOUT_SECONDS configurations match the document size.
  • Complete marketing content generated via the conversation interface can verify that the export operation can be triggered, confirming that the exportWordTrigger configuration is bound to the correct trigger node.
  • An existing session ID passed when calling the API can verify that historical conversation records load normally, confirming that the session storage configuration items are compatible with the current version.

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.