What the Data for This Category Looks Like
Renovation and decoration yield and market data primarily comes from internal financial accounting systems of renovation enterprises and regional renovation industry monitoring databases. Data updates occur once daily, covering all project revenue records from the previous calendar day. Each data document is a structured table, with fields including project code, renovation service type, accounting cycle, base revenue value, revenue fluctuation value, building material cost proportion, and data generation time. Base revenue value and revenue fluctuation value use dimensionless revenue ratio values. Building material cost proportion uses non-percentage proportion values. Data generation time uses standard timestamp format.
What Constraints These Characteristics Impose on Deployment and Upgrade
The daily full update requirement demands precise scheduled sync task configuration during deployment, to avoid occupying resources during business peak hours. The structured multi-field document structure requires strict field mapping rules for the knowledge base, to prevent missing key revenue dimensions. The enumerated classification feature of renovation service types demands configured classification recall filtering rules, to avoid mixing revenue data from different categories. Data sync processes must retain association relationships for historical projects. Upgrades must maintain compatibility with legacy data encoding formats, to prevent data breaks.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Renovation and decoration yield documents contain multiple project detail entries, with large single-file size and long parsing time |
UPLOAD_FILE_MAX_SIZE | 2000 MB | A single full daily report may include details for hundreds of projects, exceeding the basic file size threshold |
maxContext | 8000–12000 characters | Renovation yield data includes combined multi-field information, requiring sufficient context length to accommodate structured content |
| Recall count | Top 10 entries | Renovation and decoration projects have multiple associated yield dimensions, requiring enough recalled data to support report broadcasts |
| Scheduled task trigger interval | Daily 02:00 | Aligns with the industry's T+1 daily report update rhythm, avoiding resource occupation during business peak hours |
| Similarity threshold | 0.75 | Differentiate yield data for different renovation service types, preventing mixing of revenue data across categories |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Data inconsistency occurs during multi-node deployment, with some nodes unable to load the latest yield daily report. Cause: Shared storage mounting is not configured, and local cache directories on each node are not synced with full data files.
- Symptom: When building a knowledge base using version 4.9.12, markdown formatting errors appear in yield rate broadcasts in public network environments, with no issues in local environments. Cause: The
ENABLE_MARKDOWN_PARSEparameter value is not unified, leading to differing parsing rules between public network and local environments. - Symptom: Frequent
Reached the max retries per request limiterrors occur when connecting to the vector database. Cause: The connection timeout parameter for the vector database is configured too short, and batch sync requests for renovation yield data exceed the retry threshold.
How to Confirm Proper Configuration
- Perform a manual upload and parsing of a single renovation yield document, verify that the fields in the parsed output match those in the original data.
- Trigger a scheduled sync task, check that the system log contains no data timeout or format error messages.
- Configure a vector recall test, confirm that returned results only include yield data for the target renovation service type.
- In a multi-node deployment environment, switch between different nodes to access the knowledge base, confirm that all nodes can load the latest daily report data.
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.