What the data for this category looks like
Data sources for property management research include equipment inspection logs of property projects, owner maintenance work orders, public area energy consumption statistics, property service contract archives, and public area facility maintenance records. Update frequencies vary across sources: equipment inspection records and work orders are updated in real time, energy consumption statistics are updated monthly, and contract archives and maintenance records are updated quarterly or annually. Most documents are structured tables with fixed fields and corresponding values. For example, inspection logs include fields such as equipment ID, inspection time, operational status, abnormality description, and handler. Energy consumption statistics include fields such as building number, energy type, usage amount, and statistical cycle. Units include kWh, person-times, CNY, and others.
What constraints these characteristics impose on model integration and configuration
Since most property management research data consists of structured tables with fixed fields, model integration and configuration must support structured data parsing and retrieval. Different data sources have varying update frequencies, so configurations must distinguish between real-time and batch synchronization tasks to avoid mismatched synchronization frequencies and data update cycles. Single documents contain a large number of fields, and some have lengthy content, so reasonable text chunking granularity must be configured to avoid damaging the integrity of structured content. Research scenarios require complete access to related data, so retrieval configurations must balance relevance and coverage to avoid missing key operational or energy information.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Property management documents are mostly inspection forms and work order records with fixed fields. 800–1200 characters can fully carry all fields and descriptions of a single record, avoiding truncation of key information |
relevanceThreshold | 0.72–0.80 | Property data has strong field correlation. A threshold that is too low will introduce irrelevant cross-project logs, while a threshold that is too high will miss associated operational records within the same project |
topK | Top 5–7 entries | The volume of associated data for a single property project is moderate. 5–7 entries can cover equipment, work order, and energy information related to current research queries, avoiding redundancy |
PARSE_FILE_TIMEOUT_SECONDS | 240 seconds | Batch-imported property logs contain multi-page structured tables. 240 seconds can complete parsing of long documents and field extraction |
streamResponse | Disabled | Research scenarios require complete output of batch equipment inspection summaries and energy analysis results. Streaming output will cause abnormal result concatenation, affecting analysis accuracy |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Historical property project logs contain a large number of high-definition equipment photos and scanned documents. 1000 MB can meet batch import requirements |
The parameter values provided on this page are common recommendations used as 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 test on your own samples before finalizing.
Three common mistakes
- Phenomenon: Model-generated Markdown tables fail to render correctly, and the conversation interface only displays
...[hide 38432 char]. Cause: ThechunkSizeconfiguration was not adjusted to match the structured characteristics of property documents. Single inspection or work order tables are split, losing closing tags and causing parsing errors. - Phenomenon: A
408 Request Timeouterror occurs when calling the model. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted. Parsing time for large batch-imported property logs exceeds the default threshold, triggering a timeout. - Phenomenon: The model returns segmented fragments that cannot be directly used for research report summarization. Cause:
streamResponsewas not disabled. Streaming output is enabled by default, causing results to be sent in multiple segments.
How to confirm the configuration is correct
- Upload a single standardized property inspection table document, and check that the parsed text from the platform fully retains all fields and table structure, with no truncation or loss of key information.
- Initiate a research query covering equipment energy consumption and maintenance work orders, verify the relevance and coverage of retrieval results, and adjust
relevanceThresholdandtopKto ranges suitable for the current scenario. - Test batch import of 5 or more historical property log documents, confirm that no timeout errors occur during parsing tasks, and that the import process completes normally.
- Initiate a query requiring complete summarized output, and confirm that the model returns continuous, complete text with no segmented delivery or abnormal fragment concatenation.
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.