What the Data for This Category Looks Like
Property management research report data primarily comes from regional property operation reports published by industry associations, internal park operation archives of real estate development enterprises, and specialized format analysis documents from third-party research institutions. Update cycles follow monthly and quarterly schedules; some policy-focused reports are updated alongside local regulations. Individual documents include fields such as basic project information (e.g., project name, total construction area, format type), operation indicator data (e.g., collection completion amount, operation hours, total energy consumption), policy compliance points, competitive benchmarking analysis, and more. Field units are mostly physical measurement units such as yuan, hours, and kilowatt-hours. Document lengths vary widely; it is recommended to calculate or measure based on local samples before finalizing. Some documents include multi-page tables and facility list attachments.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Data sources for property management research reports are scattered, including public reports and internal archives. Multi-turn dialogue must clearly define the data source scope to prevent the model from confusing operation data across different projects. Periodic update cycles require guiding users to specify a time interval during dialogue, to avoid returning expired or mismatched information. Document structures include multiple types of fields and attachments, so prompts must clearly specify the extraction scope to prevent the model from confusing data across categories. Diverse field units require active confirmation of measurement standards during multi-turn dialogue, to avoid outputting values that do not match user requirements. Additionally, individual documents have long lengths; the multi-turn dialogue context window must support long-text processing to prevent loss of key information.
Configuration Settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the length of individual property management research reports and the context retention needs of multi-turn dialogue, preventing loss of key prior questions and retrieved data due to an overly small window |
retrieved_chunk_count | Top 8–12 results | Covers the retrieval needs for multiple types of fields including project basics, operations, and policies in property management research reports, preventing omission of key information due to too few retrieved results |
similarity_threshold | 0.72–0.85 | Filters research reports of other formats unrelated to the target project, reducing confusion between residential, commercial, and office property data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the parsing duration of property management research reports containing multi-page tables and attachments, preventing document parsing failure due to timeout |
chunk_length | 1500–2000 characters | Matches the paragraph structure of property management research reports, preventing information deviation during field extraction by the model due to overly long chunks |
reRankTopN | Top 3–5 results | Re-ranks initial retrieval results, filters low-correlation content, and improves the accuracy of multi-turn dialogue responses |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to conduct measurements using local samples before finalizing.
Three Common Misconfigurations
- Issue: Dialogue results contain a large number of meaningless formatting punctuation such as # and *. Cause: The
markdown_formatparameter is not configured, format markers from model outputs are not cleaned, and table content in property management research reports often includes native format symbols with no pre-processing applied. - Issue: The
reference_sourcefield is empty when calling the dialogue interface, making it impossible to retrieve the knowledge base information referenced in the current dialogue. Cause: Theenable_referenceconfiguration item is not enabled, or the project identification metadata of the knowledge base is not correctly associated, resulting in inability to track specific referenced knowledge base content. - Issue: Image links in the knowledge base cannot be properly displayed in dialogue for local deployment environments. Cause: The
image_domain_whitelistparameter is not configured, and the local deployment image domain name is not added to the whitelist, preventing the model from accessing and rendering the image links.
How to Verify Successful Configuration
- Initiate a test dialogue with multiple follow-up questions. For example, first ask for the collection completion amount of a specific park, then follow up with a question about the park's energy consumption data. Check that the context is correctly retained with no information breaks.
- Review the fields returned by the dialogue interface, confirm that the
referenceandreference_sourcefields contain corresponding content, and verify that the reference information tracking function works correctly. - Upload a property management research report containing tables and images, initiate a question with formatting requirements, and check that the returned results filter out meaningless formatting punctuation and that image links are properly recognized.
- Adjust the
similarity_thresholdand initiate a test, check that retrieval results filter out data from other formats unrelated to the target project, and verify that the threshold configuration is effective.
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.