What the data for this category looks like
Property management investment research data mainly comes from project operation ledgers, public area energy consumption reports, tenant contract archives, property fee collection system data, and industry policy documents. Three update frequency categories exist: daily operation records are updated in real time or daily; tenant contracts and fee data are updated when contracts are signed, terminated, or fees are paid; industry policy documents are released irregularly. Document formats include structured reports, long-text operation logs, PDF-format policy documents, and project planning drawings. Fields include project ID, tenant number, energy consumption reading, property fee collection rate, maintenance expiration date, etc. Some fields have clear units of measurement.
What constraints these characteristics impose on deployment and upgrade
High-frequency updated structured data requires configuring real-time or scheduled pull synchronization mechanisms during deployment, to avoid data lag affecting investment research analysis. Mixed-format documents require parsing links to support structured table splitting and long-text segmentation rules, to ensure complete parsing of all document types. Data involves tenant privacy and project operation sensitive information, requiring permission control configurations to be updated during upgrades, to restrict access to sensitive fields. Irregularly updated industry policies require knowledge base incremental synchronization to support flexible trigger cycles, adapting to non-fixed document update rhythms. Cross-project investment research comparison also requires configuring data verification logic during deployment, to avoid format conflicts in identically named fields across different projects.
How to Configure the Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapt to parsing time of long-text operation logs and multi-page reports |
UPLOAD_FILE_MAX_SIZE | 800 MB | Accommodate large documents such as project drawings and annual operation archives |
DATA_SYNC_INTERVAL | 1800 seconds | Match update rhythms of monthly energy consumption reports and quarterly fee data |
Recall count | Top 8 entries | Cover sample requirements for multi-dimensional analysis of single projects and cross-project comparison |
Similarity threshold | 0.72–0.80 | Filter low-relevance tenant feedback and non-core policy documents |
maxContext | 6000 characters | Adapt to context splicing length required for investment research analysis |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: After version 4.8.20, calling fails when configuring One API as the model gateway, returning the
500 Internal Server Errorerror code. Cause: Gateway information was not configured on the platform page, local configuration files were still relied on, and the/v1path was not added at the end of the API address. - Issue: After a Docker-deployed instance restarts, all knowledge base sharing links become invalid, and the page prompts no permission to access. Cause:
SHARE_SESSION_STORAGEwas not mounted to a local persistent directory, and session cache was lost after restart. - Issue: After uploading an operation log document, long text is truncated and historical records cannot be fully recalled. Cause: The
PARSE_FILE_MAX_CHUNKparameter was not adjusted to a value adapted to long text, causing segmentation logic to not meet document length requirements.
How to Confirm Configurations Are Correct
- Run a single project energy consumption data synchronization task, check if data pull time meets expectations, and confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration takes effect. - Upload an operation document containing structured tables and long text, check if complete fields and units are retained after parsing, and confirm that multi-format parsing rules are configured correctly.
- Initiate an investment research query, check if the number and relevance of recalled results meet business requirements, and confirm that the
Recall countandSimilarity thresholdconfigurations are reasonable. - Restart the Docker instance, access the original sharing link, confirm that the page loads normally, and confirm that the persistent storage configuration takes effect.
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.