What This Category’s Data Looks Like
This category’s data sources include property project operation logs, public area inspection logs, equipment maintenance files, owner request tickets, and property fee collection records. Update frequencies cover real-time (owner request tickets), daily (public area inspections), monthly (special equipment maintenance such as elevators), and quarterly (overall project operation logs). Each document includes fields such as project ID, equipment number, inspection timestamp, exception severity level, disposal result, and more. Units include square meters, hours, yuan, and others. Some documents have attached on-site image attachments.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Multi-source heterogeneous data types require multi-turn dialogue to first clarify the data source dimension, to avoid confusing analysis logic between operation logs and ticket data. Real-time updated owner tickets and inspection data require limiting the loading range of invalid historical information, as dialogue context cannot be overly outdated. Standardized fields and units require prompts to clearly specify field matching rules, to prevent errors where equipment numbers are not bound to projects. Data with different update frequencies require distinguishing call priorities between real-time data and historical archived data in prompts, to ensure the timeliness of investment research conclusions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Property management investment research data is mostly structured logs and long documents. This range covers key context of quarterly operation data for a single project, avoiding dilution of core investment research information by overly long context |
Recall count | Top 6–8 entries | Property investment research needs to balance equipment exception records and ticket data. Too many retrieved entries introduce irrelevant items. This range covers core operation events for a single project |
Similarity threshold | 0.72–0.80 | Property data fields have a high degree of standardization. This threshold filters low-match unrelated operation records and retains valid investment research references |
prompt_template | Only organize investment research conclusions based on provided property operation and ticket data, according to project and equipment dimensions specified by the user. Confirm data update timestamps during multi-turn dialogue | Clarify boundaries of the investment research scenario, avoid associating irrelevant external information, and guide dialogue to focus on specified property projects |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single property maintenance file documents are usually long. This duration ensures complete parsing of large-volume documents |
enable_history_ref | Enabled | Property investment research needs to track multi-turn operation trends for the same project. Enabling historical context reference ensures coherent dialogue logic |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and testing on independent samples is recommended before finalizing configuration.
Three Common Configuration Mistakes
- Phenomenon: Dialogue returns a
401 No auth credentials founderror. Cause: Authentication parameters for the property data interface were not configured in the HTTP node, resulting in identity verification failure when calling operation logs or ticket interfaces. - Phenomenon: Equipment data returned in multi-turn dialogue does not match the specified property project. Cause: The prompt did not explicitly require verifying the binding relationship between project ID and equipment number in each dialogue turn, leading to context confusion between data from different projects.
- Phenomenon: Knowledge base retrieved inspection records exceed the time range specified by the user. Cause: No time filter parameters were configured for the knowledge base, resulting in retrieval of expired non-current cycle operation data, which affects the timeliness of investment research conclusions.
How to Confirm Proper Configuration
- Launch a multi-turn dialogue comparing operations across multiple projects, and check whether returned results only include valid data for specified projects.
- Test three consecutive rounds of questions about operations for the same equipment, and confirm whether context is correctly retained and associated with subsequent questions.
- Upload a single property maintenance file, and check whether parsed fields fully match preset investment research dimensions.
- Trigger the HTTP node to call the test interface, and confirm no permission errors appear after authentication parameters are correctly configured.
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.