What Data for This Category Looks Like
Commercial real estate investment research data primarily comes from internal project operation ledgers, partner business format planning documents, and public information from local business district monitoring platforms. The update rhythm falls into three categories:
- Lease contracts and rent adjustment records are updated in real time upon signing or price adjustment.
- Operational indicators such as project occupancy rate and per-square-meter efficiency are updated monthly.
- Business district foot traffic and competitor layout data are updated quarterly.
Document structures include structured operation reports (with fields related to rentable area, rent unit price, and occupancy rate), unstructured business format analysis reports, and on-site survey image materials. For fields and units: Rentable area is measured in square meters. Rent unit price is measured in yuan per square meter per day. Lease term is measured in months. Business format type is a text classification field.
Constraints on Multi-turn Dialogue and Prompt Engineering
The varying update rhythms, mixed data structures, and complex fields of commercial real estate investment research data impose multiple constraints on multi-turn dialogue and prompt configuration.
First, real-time updated lease contracts and monthly operational data require multi-turn dialogue to support real-time data retrieval. Prompts must clearly distinguish the call priority between real-time operational data and historical research data.
Second, fields with multiple units such as square meters and yuan per square meter per day require prompts to include built-in unit verification rules to avoid unit conversion errors during dialogue.
Third, the mixed data structure of structured reports and unstructured reports requires multi-turn dialogue to support context-aware switching queries. For example, ask for overall occupancy rate first, then follow up with data on business formats for specific floors.
Fourth, cross-project and business district linkage analysis requirements require prompts to configure cross-data source association logic.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Commercial real estate investment research conversations require retaining contextual connections across multiple rounds of operational data and business format analysis. Sufficient window size prevents loss of critical information |
recall_top_k | Top 6–8 entries | Commercial real estate investment research data includes multiple types of structured reports and unstructured reports. Sufficient recall entries are needed to cover multi-dimensional investment research needs such as tenants, rents, and business districts |
similarity_threshold | 0.75–0.85 | Balances accurate matching of core fields such as rent unit price and occupancy rate with coverage of analysis needs for different business formats, avoiding redundant recall or missing critical data |
prompt_template | Preconfigured as "Please combine commercial real estate operational data and business district information to conduct analysis step by step in accordance with the user's question context, clearly mark the update time of referenced data" | Guides the model to associate multi-turn dialogue context and data timeliness, aligning with commercial real estate investment research requirements for data freshness |
file_parse_chunk_size | 1000–1500 characters | Commercial real estate operational analysis reports are lengthy. This segment length balances semantic completeness and recall accuracy for individual segments |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Quick buttons in the conversation opening screen do not respond after being clicked. Cause: The trigger instruction associated with the quick buttons is not configured in the prompt template, or the quick button parameter binding does not point to the correct knowledge base category.
- Issue: Embedded operational report images fail to load when viewing conversation history without a logged-in status. Cause: No public access permission is configured for the image storage path, or the image link validity period is set too short, preventing resource access without login.
- Issue: When nested calls to other preconfigured applications are made, the called application does not log the current conversation's context logs. Cause: The context inheritance configuration item for the called application is not enabled, resulting in conversation logs only being retained in the parent workflow.
How to Verify Proper Configuration
- Initiate consecutive questions with multi-dimensional requirements, such as first querying the overall occupancy rate, then following up with rent data for a specific business format, to confirm that the conversation can retain context and associate different types of investment research information.
- Test queries for fields with different units, such as asking for rent data corresponding to different pricing cycles separately, to confirm that the model can correctly identify units and match corresponding fields.
- Trigger a workflow that nests calls to other applications, to confirm that the called application can synchronously obtain the current conversation's context information and generate associated analysis results.
- Switch to a non-logged-in state to view conversation history, verify that embedded operational report images load normally, and confirm that storage permissions and link validity period configurations meet requirements.
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.