What the data for this category looks like
Commercial property research report data mainly comes from public reports of commercial real estate research institutions, monthly statistics from industry associations, internal operational data of property operation enterprises, and public datasets of business district passenger flow monitoring. Update frequency is mainly monthly and quarterly. Real-time passenger flow data for some core business districts is updated weekly. Document structure usually includes four core modules: business district overview, rental trend, tenant structure, and passenger flow analysis. It also includes multiple pages of statistical tables and brand entry lists. Fields include rental unit price (yuan/square meter/day), vacancy rate, average daily passenger flow (person-times), tenant type classification, and others. There are slight differences in statistical specifications across data sources.
Constraints on workflow orchestration
The multi-source, scattered nature of commercial property research reports means the workflow must include multiple data source access nodes. These nodes adapt to different formats of public reports and internal data. The structure of long documents and embedded tables requires the parsing process to maintain the integrity of titles and table context. This avoids splitting that breaks data associations. The monthly and quarterly update frequency requires the workflow to support configurable scheduled trigger rules. Manual startup is not required each time. Differences in field statistical specifications require the workflow to include standardized cleaning nodes. These nodes unify units and calculation logic for data from different sources.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Commercial property research reports often contain multiple pages of tables and long paragraph analysis, with longer parsing time than general documents |
Segment Length | 1000–1200 characters | Adapt to the semantic integrity of long paragraphs such as rental analysis and passenger flow statistics in research reports, avoid splitting that breaks data associations |
Similarity Threshold | 0.72–0.78 | Indicators such as rental and vacancy rate in commercial property research reports are highly standardized, need to filter low-match irrelevant content |
Recall Count | Top 8 entries | Balance coverage of research report data and result conciseness, avoid excessive historical data interfering with core conclusions |
UPLOAD_FILE_MAX_SIZE | 200 MB | A single commercial property research report often includes high-definition business district maps and tenant list attachments, need to support large file uploads |
Rearranged Return Count | Top 3 entries | Focus on the most relevant core research report data, meeting the accuracy requirements of retrieval needs |
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 specific analysis. It is recommended to test on your own samples before finalizing.
Three common misconfigurations
- When configuring segment length, only using title-level separators causes long table content to be split into multiple segments. Full extraction of associated data such as rental and vacancy rates becomes impossible. Core data of commercial property research reports mostly relies on context within tables. Splitting only by titles breaks data associations.
- The link generated after publishing the workflow points to a local address and cannot be accessed externally. Public network domain name and port mapping were not configured during deployment. Only default local startup parameters were used.
- The workflow stalls after the tool call node executes, with no return results. The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted for long document parsing. The default timeout duration is insufficient to complete full parsing of commercial property research reports.
How to confirm configuration is complete
- Upload a local commercial property research report document. Check the parsed segment list to confirm that core tables and long paragraphs are not overly split.
- Trigger workflow execution. Check if the generated access link points to the deployed public network address, not a local loopback address.
- Simulate tool call node execution. Check system logs to confirm that parsing is completed and data is returned, with no timeout errors.
- Enter retrieval keywords. Verify that the number and relevance of returned results match the preset recall and rearrangement configurations.
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.