What the Category Data Looks Like
Financial report data for residential development enterprises comes from publicly disclosed documents of domestic and overseas stock exchanges, plus official annual, semi-annual, and quarterly reports released by enterprises. Data updates follow fixed quarterly, semi-annual, and annual release cycles. A single financial report document includes modules such as consolidated financial statements, project development investment details, pre-sale payment collection data, and land reserve status. Fields include total assets, total liabilities, operating revenue, completed area, average sales price, and more. Common units are ten thousand yuan, hundred million yuan, and square meters.
Constraints Imposed on Knowledge Base Retrieval and Recall
The multi-module structure and specialized business fields of residential development financial reports require retrieval and recall to accurately match exclusive business content such as project development and pre-sale payment collection. This avoids interference from general financial data on analysis results. Fixed update cycles require recall logic to associate with financial report release times. It prioritizes recalling the latest disclosed reports to meet timeliness needs for year-over-year and quarter-over-year analysis. High information density in single documents requires segment processing to retain links between business fields and context. This prevents loss of core project-related information after splitting. Cross-report business comparison needs require recall logic to support cross-cycle associated retrieval of the same field. This meets year-over-year and quarter-over-year analysis requirements for financial reports.
How to Set Configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
recall count | Top 8–12 entries | Residential development financial report documents have high information density. Too many recalled entries will exceed the context window, while too few will fail to cover multi-dimensional data related to project development |
similarity threshold | 0.72–0.80 | Financial report fields have strong professionalism. Low-match general financial expressions must be filtered out, to retain retrieval results strongly related to residential development business |
segment length | 1000–1500 characters | Single financial reports contain multiple modules. Segmentation must retain the contextual integrity of business fields such as project development and pre-sale payment collection, to avoid semantic fragmentation after splitting |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Financial report documents of large residential development enterprises have long length, requiring sufficient time to complete text parsing and segmentation |
reranked return count | Top 3–5 entries | Rerank recalled results by business relevance, prioritizing content directly related to residential development financial report analysis |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- An abnormal version number is displayed on the homepage after upgrade, and an error pops up when clicking the knowledge base. The cause is incomplete overwriting of upgrade package files, leading to inconsistent version configuration and actual deployment. Locate the issue by checking interface logs with a
500status code in the console. - The knowledge base retrieval returns empty results or no business-related fields. The symptom is that the returned results do not include content such as completed area and pre-sale payment collection of residential development projects. The cause is that recall rules for financial report business fields are not configured, and general retrieval logic cannot match specialized terminology.
- The knowledge base response takes too long. The symptom is that the request does not return a result within 15 seconds. The cause is that the
recall countis set too high, leading to the loading and processing of a large amount of irrelevant financial data, which increases context parsing time.
How to Confirm Configuration Is Correct
- Upload a single residential development annual financial report, perform a retrieval test, and check whether the returned results include exclusive business fields such as project development and pre-sale payment collection.
- Check the console logs to confirm that there are no
PARSE_FILE_TIMEOUTrelated errors during the file parsing process, verifying that the timeout configuration is effective. - Adjust the
similarity thresholdand perform multiple retrievals, observe whether the result matching degree meets business analysis requirements, and confirm that the threshold configuration is reasonable. - Compare the version number display and knowledge base loading status before and after the upgrade, confirm that there are no abnormal version errors after the upgrade, and verify that the deployment configuration 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.