Multi-turn Dialogue and Prompt Engineering for Residential

What this category of data looks like

Residential development investment research data primarily comes from project land acquisition approval documents, construction progress ledgers, unit design specifications, surrounding facility surveying and mapping reports, regional housing and urban-rural development filing data, and industry policy documents. Data update frequency changes with project phase. Land use planning documents are updated once. Construction ledgers are synchronized monthly. Regional filing data is updated weekly. Document types include structured Excel ledgers, PDF-format planning descriptions, and text-based drawing content exported from CAD. Core fields include project number, land area (square meters), floor area ratio, start and completion dates, filing average price (yuan per square meter). Some documents include plot location longitude and latitude coordinates.

Constraints Imposed on Multi-turn Dialogue and Prompt Engineering

The multi-phase update rhythm of residential development investment research data requires tracking project phase context in multi-turn dialogue. This prevents parameter confusion across projects or phases. The multi-field attributes of structured ledgers require prompts to explicitly bind unique identifiers such as project number and location. This ensures accurate query targeting. The fragmented format of unstructured planning text and drawing summaries requires multi-turn dialogue to complete field alignment before outputting results. It also requires separating processing branches for structured data retrieval and unstructured text interpretation. The high-frequency updates of regional filing data require prompts to include a retrieval rule that prioritizes recent cycle data. This avoids returning outdated information.

Configuration Settings

Configuration Item	Recommended Value Range	Rationale
`maxContext`	`8000–12000 characters`	Residential development investment research documents can reach thousands of characters per piece. Multi-turn dialogue must retain 3-4 rounds of context to avoid truncating critical project parameters
`recallTopK`	`Top 6–8 entries`	Residential development data includes multi-dimensional fields. Sufficient recalled entries are needed to cover information across project planning, construction, filing and other categories
`similarityThreshold`	`0.72–0.78`	Residential development data has strong field correlation. A threshold that is too low may introduce irrelevant project data. A threshold that is too high will fail to recall multi-dimensional information for the same project
`contextMemoryWindow`	`24 hours`	Residential development investment research mostly tracks full project cycles. Context within 24 hours covers continuous multi-turn query needs for a single project
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Parsing large CAD-exported text or planning PDF files takes significant time. Sufficient parsing time must be reserved
`CHAT_HISTORY_RETENTION_DAYS`	`Set per business requirements`	Chat records for residential development investment research must match project tracking cycles. Configure retention duration based on business needs

The parameter values listed on this page are common starting points for configuration setup. Actual values are affected by material format, data volume and business rules. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Chat records are not retained per configured duration. Symptom: Chat messages are automatically deleted after the preset duration even after configuration. Cause: contextMemoryWindow was incorrectly set as an in-session duration, the global retention duration was not configured, and the CHAT_HISTORY_RETENTION_DAYS parameter was not modified.
Knowledge base permission control fails. Symptom: Unauthorized project data is accessed by conversations from non-corresponding roles. Cause: Project permission verification logic was not included in prompts, and knowledge base project tags were not bound to project IDs in conversation context.
Multi-turn dialogue parameter confusion occurs. Symptom: After a user asks about the floor area ratio of Project A, subsequent queries are linked to parameters of Project B. Cause: Prompts do not enforce binding project numbers for each query, and context tracking does not clearly identify project unique identifiers.

How to Verify Proper Configuration

Initiate a multi-turn dialogue that includes project number, construction progress and filing price. Check that returned results bind the unique identifier of the specified project.
Adjust the similarityThreshold parameter. Verify that the relevance of recalled results meets business requirements, and adjust to a suitable range.
Configure the CHAT_HISTORY_RETENTION_DAYS parameter. Wait for the preset duration, then check if chat records are retained or deleted per the rules.
Upload large planning PDF or CAD text files. Verify that parsing completes within the PARSE_FILE_TIMEOUT_SECONDS duration, with no timeout errors.

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.