What the Data for This Category Looks Like
The data for this category primarily comes from specialized residential development research reports released by domestic real estate industry research institutions, monthly market monitoring reports from local housing and construction authorities, and quarterly operating briefings from listed real estate companies. Update cadences cover weekly sales data, monthly market monitoring, quarterly special research reports, and annual industry white papers.
Single document structure includes core indicator summary, regional market breakdown, project case analysis, policy-related interpretation, and data appendix tables. Core fields include land acquisition area (unit: 10,000 square meters), number of units started (unit: units), sales cycle (unit: months), floor land price (unit: yuan/square meter). Additional metadata includes research report publishing institution, publication date, covered city tier, and other related information.
What Constraints Do These Characteristics Impose on Tool Calling and Plugins
The multi-source, multi-update-cycle data characteristics require tool calling plugins to support scheduled pulling of data sources with different cycles, while adapting to multiple document formats including PDF research reports, Excel appendix tables, and web-based monitoring reports.
Fields with clear units require plugins to verify unit consistency during data extraction and retrieval, to avoid unit confusion across different research reports. Complex document structures require plugins to support segmented retrieval of core indicators and appendix tables, rather than only retrieving main body content.
Metadata attached to research reports requires tool calling to support filtering parameters such as binding publishing institution and covered city tier. For long single documents, reasonable segment length configuration is needed to avoid call timeouts.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Specialized residential development research reports often contain multi-page PDFs and associated Excel appendix tables, requiring support for large file uploads |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing long single research reports takes significant time, avoiding premature timeout interruptions |
Segment Length | 800–1200 characters | Adapts to the long-text structure of research reports, balancing retrieval accuracy and contextual relevance |
Retrieval Count | Top 8–12 results | Covers multi-dimensional segmented content of residential development research reports, avoiding omission of regional and cycle-related indicators |
Similarity Threshold | 0.75–0.85 | Filters low-relevance retrieval results, adapting to the high content threshold of professional research reports |
Reranked Return Count | Top 3–5 results | Focuses on the most relevant research report fragments, reducing redundant information during tool calls |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Tool calling does not prioritize executing research report field verification logic, and returned results contain units inconsistent with the residential development industry. Cause:
system_prompt_execution_orderis not configured correctly, causing the field verification step to not trigger first after retrieval. - Phenomenon: When attempting to call a code generation plugin, the generated code cannot adapt to the field format of research report data. Cause: Specific field descriptions for residential development research reports are not bound in the tool calling prompt, causing the generated code to fail to match the preset data structure.
- Phenomenon: A
408 Request Timeouterror occurs when parsing large-sized research reports. Cause: The value ofPARSE_FILE_TIMEOUT_SECONDSis not adjusted, and the default timeout duration is insufficient to complete long document parsing.
How to Confirm Proper Configuration
- Upload a local specialized residential development research report, check the text segmentation results parsed by the platform, and confirm that the segmentation rules match the configured items.
- Submit a retrieval request for residential development market data, verify that the returned retrieval count and reranked result count fall within the configured value range.
- Check the tool calling execution logs, confirm that the execution order of system prompts matches the preset logic, and that the field verification step precedes result generation.
- Configure a scheduled data source pulling task, trigger a manual test update, and confirm that the pulling cycle matches the preset settings.
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.