What This Category of Data Looks Like
Data related to bid rejection bidding items is primarily sourced from bid rejection announcements and bid review archives on public resource trading platforms and government procurement websites. Data is updated in daily batches. Each data entry includes fields such as project ID, project name, bid rejection reason, bid rejection time, purchasing unit, number of involved sections, bidding document compliance requirements, and bidder violation details. Project ID is a fixed-format string. Number of involved sections is a positive integer. Bid rejection reason and violation details are variable-length text fields, with a wide range of character counts per document.
Constraints Imposed by These Characteristics During Deployment and Upgrade
Multi-source data with daily updates requires configuration of multi-source access parameters to adapt to interface formats and rate limiting rules of different platforms. Wide character count ranges per document, combined with structured section count data and unstructured violation details, requires adjustments to knowledge base parsing segmentation thresholds to avoid long text truncation. Scheduled sync tasks must match the daily update rhythm, with reasonable incremental sync logic configured to prevent duplicate data entry. Upgrades require compatibility with new bid rejection reason fields. Parsing templates and recall rules must be pre-verified to avoid retrieval failure due to field changes. Interface permission differences across platforms must be accommodated, with request frequency parameters adjusted to prevent triggering rate limits.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Bid rejection item documents usually contain abundant violation details and compliance requirements, requiring sufficient time for complete parsing |
maxContext | 1500–2500 characters | Adapt to the character count range of individual bid rejection item documents, ensuring complete coverage of project background and bid rejection reason during recall |
RECALL_TOP_N | Top 8 entries | Balance retrieval coverage and context redundancy, covering reference cases for multiple types of violation scenarios |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Support batch import of aggregated bid rejection item datasets, preventing upload failure due to oversized files |
SYNC_CRON_INTERVAL | 0 0 2 * * * | Match the daily update rhythm of bid rejection item data, run incremental sync during off-peak business hours |
AI_ADVANCED_CONFIG_ENABLE | Enabled | Supports custom compliance check prompt templates to adapt to bid rejection item review requirements for different procurement scenarios. Requires version V4.9.0 or higher |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- When deploying version V4.9.7 using docker-compose, a startup error occurs, with the log showing
DB_CONNECT_FAILED. The cause is incorrect configuration of database connection parameters, or failure to run the database migration script for the corresponding version during upgrade, resulting in a mismatch between the version and database structure. - The knowledge base cannot support continuous questioning, and answers become irrelevant starting from the second question. The cause is that context association configuration is not enabled, or the configured context length is insufficient to cover core information from previous questions, resulting in failure to recall associated bid rejection item historical data during retrieval.
- Entries with empty
violation_detailfields appear in retrieval results. The cause is that field mapping rules for multi-source data were not configured during deployment. Field names for bid rejection item data from some platforms do not match the preset template, leading to omission of key violation details during parsing.
How to Verify Successful Configuration
- Run the database migration script for the corresponding version, confirm no errors appear in the console, and log in to the backend to verify that the system version matches the deployed version.
- Upload a single bid rejection item test document, confirm that parsed data fields are complete, with no critical information lost or truncated.
- Initiate a continuous questioning test, confirm that subsequent questions can associate retrieval results from previous questions, with no irrelevant answers.
- Manually trigger the scheduled sync task, confirm that no rate limiting or duplicate data entry related prompts appear in the data sync logs.
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.