What the data for this category looks like
Commercial real estate research report data comes from special reports released by commercial real estate industry research institutions, public operation monthly reports from commercial property operators, and commercial district monitoring databases. Updates follow a quarterly regular schedule, with additional updates when industry policies change or leading projects open. Document structures typically include basic project information, rental trends, tenant segmentation, operating cost analysis, and regional competitive landscape. Formats combine structured tables and paragraph analysis. Fields include rental unit price, building area, per-area efficiency, and average daily passenger flow, with units of yuan/square meter/day, square meters, yuan/square meter/month, and passenger trips respectively.
Constraints Imposed by These Characteristics on Multi-turn Conversation and Prompt Engineering
The multi-source, dispersed nature of commercial real estate research reports requires multi-turn conversations to gradually guide users to clarify data source time ranges and retrieval dimensions. This avoids mixing information across commercial districts and projects. The combination of structured tables and paragraphs in documents requires segment configuration to balance field association integrity. Splitting table rows will cause data breaks. The diversity of field units requires prompts to confirm unit consistency early in conversations. This prevents incorrect responses from unit mismatches. The irregular update frequency of research reports requires retaining time-limited context in multi-turn conversations. This ensures subsequent questions are based on confirmed report cycles.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Individual commercial real estate research reports are typically 5000-8000 characters long. Full conversation context and retrieved multiple research report snippets need to be retained |
chunkSize | 800–1200 characters | Commercial real estate research reports contain multi-field structured tables. Too short segment length will split table rows, while too long length will lose field association information |
recallTopK | Top 6–8 results | Data sources for commercial real estate research reports are dispersed. A sufficient number of relevant snippets must be retrieved to cover information across different dimensions |
rerankTopN | Top 3–5 results | The most relevant research report snippets must be retained for response generation, to avoid interference from redundant information |
promptTemplate | Written in the order of "confirm data source time range first → clarify retrieval dimensions → match field units" | Commercial real estate research reports have large differences in time, dimensions, and units. Prompts need to guide upfront confirmation |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing individual commercial real estate research reports takes a long time. Sufficient parsing time must be reserved |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: The first response takes more than 3 seconds to return the first character, while subsequent conversations proceed at normal speed. Cause: The vector database index for commercial real estate research reports loads during the first conversation, and no index preheating strategy is configured in advance.
- Symptom: After configuring automatic dialog prompts in the workflow, research report retrieval cannot be triggered. Cause: The retrieval scope for commercial real estate research reports is not specified in the prompt template, so the tool call fails to match the corresponding data source.
- Symptom: When calling the chart tool to generate a commercial real estate rental trend chart, the output is empty. Cause: Field unit matching is not explicitly required in the prompt, so valid structured data cannot be extracted for chart generation.
How to Confirm Proper Configuration
- Initiate a first conversation, check if the first character return time meets expectations, to verify that the index preheating configuration is effective.
- Initiate a multi-turn conversation: first ask about the rental situation of a specific commercial district, then follow up with a question about per-area efficiency data for a single project within that district, and confirm that context is correctly retained.
- Upload a commercial real estate research report, check if the parsed segments retain the integrity of structured tables, to verify that the
chunkSizeconfiguration is reasonable. - Trigger a chart tool call, check if valid field data can be extracted, to confirm that the unit matching rule in the prompt is correct.
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.