What the Data for This Category Looks Like
Data for property management intelligent due diligence reports comes primarily from property project operation ledgers, public facility inspection records, owner maintenance request archives, special maintenance fund details, and property fee collection records. There are two data update schedules: daily inspection and maintenance request records update in real time as events occur, while ledger-type data is synchronized monthly. Most documents are structured tables, with fields including project number, area scope, facility type, maintenance cycle, cost accounting items, and more. Units include square meters, yuan, hours, times, and others.
Constraints Imposed by These Characteristics on Deployment and Upgrades
The multi-source and decentralized nature of property management due diligence data requires that the deployment phase be compatible with interface formats and permission rules of different property systems, to prevent data pull failures. There are many structured fields and strict requirements for unit consistency. During the upgrade process, field mapping rules must be verified to avoid unit confusion or missing fields after parsing. Real-time updated inspection and maintenance request data requires the vector database synchronization frequency to match business rhythms. After an upgrade, the recall trigger logic must be adjusted. The length of individual report documents varies widely, so configurations for document parsing and segmentation must adapt to different lengths.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single due diligence report contains multi-page structured ledgers and operation records, so conventional parsing takes a long time |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some property project packaged ledger files have large file sizes, so upload limits must be adapted |
maxContext | 8000–12000 characters | Structured context with multiple fields must be fully retained to avoid truncation of key information |
Recall count | Top 8–12 results | Due diligence reports need to cover multi-dimensional data including operations, payments, and maintenance, balancing information completeness and redundancy |
Similarity threshold | 0.75–0.85 | Associated information of structured fields must be matched accurately to avoid irrelevant data being included in recall results |
Rerank result count | Top 5 results | Prioritize displaying the most relevant core due diligence data to improve retrieval efficiency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After deploying version 4.9.0, shared links do not trigger identity verification, and any user can access the due diligence report knowledge base. Cause: After an upgrade, the system disables the
分享链接鉴权switch by default, or the corresponding configuration item is not manually enabled. - Symptom: After deploying Ollama on Tencent Cloud CloudStudio, local calls to the bound due diligence report knowledge base fail. Cause: The
OLLAMA_API_BASEparameter is not configured correctly, or the public network port is not properly mapped viangrok, making local access to the deployed Ollama service impossible. - Symptom: After upgrading to version 4.9.0, the AI agent configured with the original one-api cannot generate due diligence report content normally. Cause: The system's built-in new AI agent tool is not switched to, or the format of corresponding configuration parameters such as
AI_PROVIDERis not updated.
How to Verify Proper Configuration
- Upload a local property due diligence report template, check if the file parsing log shows all structured fields are correctly extracted, with no missing fields or unit confusion.
- Initiate a retrieval request, verify that the number of recall results matches the value range of the
Recall countconfiguration item, with no obvious irrelevant data included. - After configuring a shared link, use an unauthorized account to access it, check if identity verification is triggered, and confirm the authentication rule takes effect.
- View the vector database synchronization log, confirm that real-time updated operation data is synchronized to the knowledge base at the set frequency, with no delays or losses.
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.