What the Data for This Category Looks Like
Residential development research report data primarily originates from publicly archived data released by housing and construction authorities, quarterly financial reports of listed real estate enterprises, and project survey documents from third-party real estate consulting institutions. Update cadence is divided into scheduled and unscheduled. Listed real estate enterprise financial reports are updated quarterly. Industry policy interpretation documents are updated in real time alongside policy releases. Dynamic data for individual projects is updated according to project development milestones. Document structures typically include fields such as project location parameters, planning indicators, development cost breakdowns, absorption cycles, and competitor comparisons. Common units for planning indicator fields include floor area ratio (ratio), land area (hectares), gross floor area (square meters), and unit cost (yuan per square meter).
Constraints on Multiturn Conversation and Prompting
The scattered data sources and differentiated update cadences of residential development research reports require multiturn conversation flows to dynamically adapt to the latest timeliness of different data types. Prompts must clearly mark the credibility levels of publicly archived data and third-party survey data. Field requirements from multiple professional organizations require prompts to preset unified conversion rules to avoid unit discrepancies in cross-field calculations. Individual project documents are relatively lengthy, so multiturn conversations must limit the effective length of context recall to prevent redundant information from interfering with core question logic. Competitor comparison dimensions must be tied to specific project attributes. Prompts must clearly define comparison scopes to avoid mixing data across different categories.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 800–1200 characters | Residential development research report single documents have relatively lengthy content, so context window must be limited to avoid redundancy while retaining core project parameters |
recallTopK | Top 10 results | Project-related data in residential development research reports is scattered, so sufficient relevant documents must be recalled to cover multi-dimensional information |
similarityThreshold | 0.75–0.85 | Research report content is highly professional, so a high similarity threshold is needed to filter non-core relevant content and avoid interference from irrelevant information |
rerankTopN | Top 5 results | After reranking, the most relevant core research report fragments must be retained while controlling the volume of information output per conversation turn |
promptTemplate | Bind corresponding research report data sources by project ID | Residential development research reports are clearly categorized by project, so retrieval scope must be limited to the document set of the specified project |
apiTimeout | 600 seconds | Parsing time for some large research report documents is long, so timeout duration must be extended to avoid request interruptions |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, 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 Misconfigurations
- Issue: When the
chatIdparameter is passed during API calls, the corresponding session identifier is not associated in the conversation log. Cause: The session storage switch is not enabled in system configuration, or the parameter passing format does not meet interface requirements. - Issue: Research report fragments returned in a single conversation turn are redundant and unrelated to the query. Cause: The
similarityThresholdvalue is not set, or the threshold is set too low, resulting in recall of a large number of non-core relevant documents. - Issue: Custom prompt templates for research report retrieval are unavailable in the open-source version. Cause: The deployed version does not support custom prompts. Upgrade to version V4.9.0 or later to resolve this.
How to Verify Successful Configuration
- A single-turn query targeting a specific residential project is initiated, and the returned research report content is verified to confirm it is limited to the scope of that project. Adjust the retrieval scope configuration in
promptTemplateif the scope is not restricted correctly. - The number of recalled documents in the conversation context window is checked, and confirmation is made that it matches the preset
recallTopKandrerankTopNconfigurations. Adjust the corresponding parameters if the number does not align. - Consecutive multiturn queries are simulated, and verification is performed that the system retains the project parameter context from the previous turn to avoid repeated queries for the same basic information.
- The API call log is checked to confirm that the
chatIdparameter is correctly associated with the session record. Check the interface parameter passing format if the association is not established.
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.