Data Characteristics of This Category
Commercial real estate research report data sources include public monitoring data from industry associations, operation announcements of listed real estate companies, research results from professional consulting firms, and business district statistics from local commerce bureaus. Update rhythms are layered: core business district passenger flow and rental data are updated monthly. Quarterly real estate company operation reports are released quarterly. Full industry perspective research reports are updated semi-annually or annually. Document structures typically include project overviews, core data tables, business format analysis, operation trends, and appendix explanations. Core fields include rental price per square meter per day, available rental area, passenger trips, and business format proportion. Corresponding units are yuan/square meter·day, square meters, passenger trips, and proportion of total available rental area.
Constraints Imposed on Workflow Orchestration
The multi-source and dispersed nature of commercial real estate research reports requires workflows to configure multiple data source access nodes. These nodes must adapt to the access formats of public data, enterprise announcements, and consulting reports respectively. Layered update rhythms require workflows to support differentiated scheduled synchronization configurations to match the update cycles of different data sources. The large number of structured tables in documents requires workflows to enable dedicated table parsing nodes. This avoids damaging data relevance through ordinary text splitting. Long document lengths require adjusting chunking parameters to ensure each segment contains complete data units. It also requires controlling context length to avoid exceeding model capacity limits. Additionally, standardized multi-field requirements mean workflows must configure field mapping rules. These rules unify identifiers for the same type of data across different data sources.
Configuration Recommendations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLED | Enabled | Commercial real estate research reports contain a large amount of structured table data. Enabling this parameter is required to accurately extract core fields such as rental price and business format proportion |
CHUNK_SIZE | 800–1200 characters | Single-segment data in commercial real estate research reports usually contains complete business district or project data units. This range avoids splitting that damages data relevance |
RECALL_TOP_K | Top 6–8 entries | Commercial real estate research reports have a large number of core data entries. A sufficient number of relevant segments must be recalled to support accurate answers |
SIMILARITY_THRESHOLD | 0.75–0.85 | Low-relevance non-core data segments must be filtered out to retain highly matched research report content |
DATABASE_SYNC_INTERVAL | Monthly/Quarterly | Match the update cycles of different data sources to avoid overly high or low synchronization frequency |
FILE_UPLOAD_MAX_SIZE | 500 MB | Single commercial real estate research report is usually lengthy. Large file uploads must be allowed to fully import data |
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, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Phenomenon: When configuring a knowledge base retrieval node, no optional values appear in the reference variable dropdown menu. Cause: Parsed research report fields are not enabled as exportable variables, or the parsing task for the corresponding knowledge base is not associated.
- Phenomenon: The port number input field of the database connection node cannot be activated, or input has no response. Cause: The database connection node in the current version does not enable visual port number configuration by default. Manually add the port field in the node configuration JSON.
- Phenomenon: Research report data returned after workflow execution lacks table content. Cause: The
PARSE_TABLE_ENABLEDparameter is not enabled. This causes the node to fail to parse structured tables in the research report, and only extracts plain text content.
How to Confirm Successful Configuration
- Upload a single commercial real estate research report file, trigger workflow execution, and check that table fields in the parsing result are complete with no missing content or garbled text.
- Enter the name of a specified business district as a retrieval keyword, run the retrieval node, and confirm that the matching degree between returned segments and the keyword meets preset requirements.
- Configure a scheduled synchronization task, wait for the update cycle of the corresponding data source to trigger, and check that research report content in the knowledge base has been updated.
- Open the advanced configuration panel of the node, confirm that all custom parameter values have been saved correctly, and no configuration is lost.
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.