What the data for this category looks like
Real estate construction financial report data primarily comes from publicly disclosed annual, semi-annual, and quarterly corporate financial reports, as well as internal project ledgers, settlement documents, and budget files. Update rhythm follows financial report disclosure cycles and project construction progress, with no fixed real-time update frequency. Individual documents typically include fields such as project number, total contract price, individual building area, detailed labor costs, material procurement lists, and payment collection progress. Most units use industry-specific metrics including ten thousand yuan, square meters, and calendar days.
What constraints these characteristics impose on knowledge base retrieval and recall
The long-form documents and multiple fields of real estate construction financial report data require retrieval and recall to accurately match business fields. Generic text matching can introduce irrelevant project data into results, so this must be avoided. Multi-cycle updated document structures require the knowledge base to support incremental updates by project, to avoid the time cost of full index rebuilding. Specialized fields and units require retrieval to associate field semantics with unit verification, to reduce ambiguous recall. Associated attributes between projects require recall results to cover related items such as costs, revenue, and payment collection, to support complete financial report analysis logic.
Configuration Settings
| Config Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Real estate construction financial report documents have long length. Sufficient associated context must be retained to support cross-field financial report analysis |
recall count | Top 8–12 results | Real estate financial reports involve multiple projects and business fields. Too many results interfere with analysis logic, while too few fail to cover data required for complete analysis |
similarity threshold | 0.75–0.85 | Semantics of real estate business fields have high similarity. Low-match irrelevant data must be filtered to avoid ambiguous recall |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Real estate construction financial reports contain large amounts of detailed data. Document parsing time exceeds that of general industry documents |
chunk length | 1500–2000 characters | Balance semantic completeness and retrieval efficiency. Avoid retrieval redundancy from overly fine chunks, or semantic fragmentation from overly coarse chunks |
incremental sync toggle | Enabled | Real estate project progress and financial report disclosure have irregular updates. Incremental sync reduces the time cost of full index rebuilding |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- The symptom is knowledge base retrieval response timeout, with the
ETIMEDOUTerror code returned in logs. The cause is failure to adjust thePARSE_FILE_TIMEOUT_SECONDSparameter for long real estate documents, leading to excessive parsing time that triggers a timeout. - The symptom is inability to locate the
custom reference templateandprompt word customizationentries in open source version V4.8.22. The cause is that this function is officially available only in V4.9.0 and later versions. Lower versions only support basic AI configuration adjustments. - The symptom is a
common:core.chaterror returned when calling knowledge base chat via a login-free link. The cause is failure to configure knowledge base access permissions, or an index exception caused by the number of open source version knowledge bases exceeding the default limit.
How to confirm configuration is complete
- Upload a single real estate construction financial report document, and verify that the parsed chunk length matches the value range set in the
chunk lengthconfiguration. - Initiate a retrieval test, and confirm that the number of recall results falls within the interval set in the
recall countconfiguration. - View the knowledge base synchronization logs, and confirm that the incremental synchronization task runs normally with no abnormal prompts for full index rebuilding.
- Initiate a chat via the login-free link, and confirm that no
common:core.chattype errors are returned.
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.