What the data for this category looks like
Data sources for residential development investment research include land transfer announcements, planning and design documents, construction logs, project filing data, industry research reports, and more. Update frequency varies by document type:
- Land transfer announcements are updated monthly or quarterly
- Construction logs are updated daily
- Project filing data is synced weekly
- Industry research reports are released on demand
Document structures cover structured parameter tables (such as floor area ratio, total construction area, land acquisition amount), semi-structured feasibility study reports, unstructured construction records, and others. Fields include project name, location, land use nature, start/completion date, and more. Units involve square meters, ten thousand yuan, floor area ratio and other unitless numerical values.
Constraints on Context and Token Management
The multi-type and long-text characteristics of residential development investment research data create multiple constraints for context and token management. Structured parameters are abundant and require cross-project comparison. A single recalled context may contain multiple parameter sets from multiple projects, which easily exceeds the token limit. Long documents such as feasibility study reports can reach tens of thousands of characters per piece. Directly passing them will occupy a large number of tokens, so reasonable segmentation is necessary. If frequently updated data is not refreshed in the context in a timely manner, investment research conclusions will rely on outdated information. Units and field formats differ across documents. Unified standardization is required during context integration, which further increases token consumption.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContextToken | 8000-12000 characters | Residential development investment research documents can reach tens of thousands of characters per piece. This range balances context completeness and token consumption limits. The open-source version can split long documents via custom functions to further control overall token usage |
recallTopK | Top 3-5 entries | Residential development project documents have high relevance. Excessive recall will exceed the token limit and reduce query efficiency |
chunkSize | 1000-1500 characters | Residential development documents contain a large number of technical parameters and long paragraphs. Segmentation that is too short will damage logical connections, while segmentation that is too long will increase single-segment token usage |
chunkOverlap | 150-200 characters | Technical parameters and project background across segments require contextual continuity to avoid information breaks |
contextWindowFilterThreshold | Calibrated via actual testing | Low-relevance project documents need to be filtered to reduce invalid token usage. The specific threshold is adjusted according to the business scenario |
parseMaxLength | Calibrated via actual testing | Single residential development feasibility study reports can reach hundreds of thousands of characters. This setting must match the maximum length limit of system parsing |
The parameter values provided on this page are all conventional recommendations used as a starting point 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
- Phenomenon: The service restarts frequently after internal deployment. Logs display
failed to validate token. Cause: No local token verification strategy is configured for the internal network environment. Relying on external network interfaces leads to request timeout and failure. - Phenomenon: Knowledge base search and question optimization functions continue to generate additional fees, and the configured custom token does not take effect. Cause: The custom token is not bound to the corresponding service module, and the platform default billing credential is still used.
- Phenomenon: Old project parameter residues appear after multiple queries in a session, and the latest context information cannot be obtained. Cause: No session context automatic cleanup rule is configured, or the context reset operation is not triggered manually.
How to Verify Proper Configuration
- Upload a single residential development feasibility study report, check the segmented length and quantity after parsing, and confirm they match the preset
chunkSizeandchunkOverlapconfigurations. - Initiate a cross-project investment research query, check the number of recalled documents, and confirm it falls within the
recallTopKconfiguration range. - Check the service logs to confirm that the token verification request does not point to an external network interface, matching the internal network deployment configuration requirements.
- Initiate multiple session queries, manually trigger the context reset operation, and confirm that old parameters no longer appear in the context of new queries.
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.