What the data for this category looks like
Data sources for consumer building materials include manufacturer public product test reports, quarterly survey data from industry associations, real-time bid winning information from bidding platforms, and terminal retail sales movement reports. Document structures vary significantly: Product test reports are mostly structured tables, with parameters such as thickness, compressive strength, and environmental protection grade, using units mostly mg/m³ and MPa. Bidding announcements include text fields such as project location, budget, and winning bidder. Sales movement reports are categorized by region, SKU, and sales volume. Update rhythms differ across sources: new product test reports update with product launches, bidding information is released in real time, and industry survey data updates quarterly.
What constraints these characteristics impose on deployment and upgrade
Multi-source heterogeneous document formats require adapting multiple parsing engines during deployment, to handle structured tables, long-text announcements, and categorized reports separately. Differences in update frequencies across data sources require adjusting interval configurations for incremental sync tasks during upgrades. This avoids resource waste from overly frequent syncs or data lag from overly infrequent syncs. Specialized fields and units require preset metadata mapping rules, to prevent unit confusion or missing fields during parsing. The high proportion of long documents requires optimizing segmentation and recall parameter thresholds during upgrades, to avoid information loss from context truncation.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Bidding announcements for consumer building materials often include multiple CAD drawings or test report attachments, so single-file size may exceed general upper limits |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Parsing large batch bidding documents or multi-page test reports takes extended time, preventing forced termination of parsing mid-process |
maxContext | 8000–12000 characters | Consumer building material product parameters often include multiple sets of associated data; sufficient context preserves complete parameter logic chains |
Number of recall results | Top 8–12 results | Investment research requires covering multi-dimensional data including products, bidding, and sales movement. Too many results cause context overload, while too few lead to incomplete information |
Similarity threshold | 0.72–0.78 | Consumer building material SKUs have high similarity. Too low a threshold recalls irrelevant competitor data, while too high a threshold misses valid associated information |
Incremental sync interval | 5 minutes–1 hour | Different data sources have widely varying update frequencies: use 5-minute intervals for real-time bidding data, and 1-hour intervals for industry survey data |
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 targeted analysis, and it is recommended to test against in-house samples before finalizing settings.
Three common mistakes
- Symptom: Alibaba Cloud RDS database connection failed, with error codes 1045 or 2003 returned. Cause: The public IP of the FastGPT deployment node or container network segment was not added to the whitelist configuration of the RDS instance.
- Symptom: Empty values appear for specialized fields such as environmental protection grade and compressive strength when parsing PDF test reports for consumer building materials. Cause: Specialized parsing rules for the building materials industry were not configured, and the general parsing engine cannot recognize industry-specific fields and units.
- Symptom: Custom incremental sync configurations do not take effect after upgrading to v4.8.20-fix, and logs prompt that the configuration file cannot be read. Cause: Configurations from the old version of
config.jsonwere not migrated to the new version's environment variables or visual configuration interface. Some new versions no longer automatically load local config.json files.
How to confirm configurations are properly set
- Upload a typical consumer building materials test report PDF, check if parsed fields include specialized parameters such as thickness, compressive strength, and environmental protection grade, and verify field units comply with industry standards.
- After configuring the Alibaba Cloud RDS connection, run a database connectivity test, check if the preset building materials knowledge base metadata table can be read and written normally.
- Start the incremental sync task, check if the latest bidding announcements or sales movement data can be automatically pulled, and verify data source matching status in sync logs.
- Call the knowledge base retrieval interface, input industry-specific search terms, check that returned result quantity and relevance match preset configurations.
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.