What the data for this category looks like
Residential development research report data draws primarily from publicly archived data from housing authorities, annual and quarterly disclosure documents of listed real estate companies, and special research results from professional real estate research institutions. The update schedule follows project development milestones, industry policy release frequency, and quarterly industry report cycles. A single document usually includes sections for basic project information, land acquisition status, planning indicators, development progress arrangements, cost breakdown, and market forecasting. Fields include planned floor area ratio, green space ratio, construction area, land transfer consideration, development cycle duration, etc., with units of dimensionless, square meters, ten thousand yuan, and months respectively.
What constraints do these characteristics impose on the "knowledge base retrieval and recall" link
Large format differences between housing authority archived data and real estate company disclosure documents cause field extraction deviations during the parsing stage, requiring targeted configuration of document segmentation rules. The update rhythm of different project research reports varies significantly; some temporary policy-related research reports need high-frequency synchronization, which increases incremental update scheduling pressure. The precise matching requirements for professional fields such as planned floor area ratio and development cycle require the recall stage to prioritize keyword weights associated with specific fields. The relatively long content of a single research report occupies more context windows, requiring limiting the maximum character count per recalled document to avoid exceeding the large model's processing limits.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Residential development research reports contain multiple sections of professional content; this segmentation length balances single-segment information integrity and context window usage |
recallTopK | Top 10–15 results | Professional keywords in residential development research reports are distributed dispersedly; sufficient candidate documents must be recalled before reranking |
similarityThreshold | 0.72–0.80 | The accuracy requirement for professional term matching is high; a value that is too low will introduce irrelevant documents, while a value that is too high will miss relevant content |
rerankTopN | Top 3–5 results | Only the most relevant research report fragments should be retained to avoid excessive content interfering with large model generation |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing some large research report documents takes a long time; this duration covers the parsing process for most documents |
incrementalSyncInterval | 2:00 AM daily | Most industry data is updated overnight; scheduled synchronization ensures the timeliness of knowledge base content |
The parameter values provided on this page are common recommended starting points for determining configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Symptom: The workflow prompts "Knowledge base ID not found" and returns status code 404. Cause: Global variable binding is not configured in the workflow node, or the incoming knowledge base ID parameter format is incorrect.
- Symptom: Commercial real estate research reports unrelated to residential development appear in retrieval results, and the number of recalled results exceeds the configured threshold. Cause: Keyword weights are not configured for residential development-specific professional fields, and non-target category documents are not filtered during the recall stage.
- Symptom: The answer generated by the large model does not reference content recalled from the knowledge base, and only outputs general knowledge. Cause: The weight priority of knowledge base recalled content is not configured, or the similarity threshold is set too high, causing valid recalled content to not be passed to the context window.
How to confirm the configuration is correct
- Upload a single residential development research report, check if the parsed text segments meet the expected length, and confirm that the segmentation configuration is reasonable.
- Enter a search term containing "floor area ratio" or "development cycle", verify that the number of recalled documents matches the preset range.
- Call the API with a preset knowledge base ID, confirm that the workflow can normally read and use the content of this knowledge base.
- Upload two research reports with inconsistent descriptions of the same project indicators, confirm that the system can identify content conflicts and generate prompts.
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.