What the data for this category looks like
Glass investment research data primarily comes from industry association monitoring of kiln operating rates, upstream soda ash raw material quotation databases, downstream photovoltaic module and construction engineering order data, and third-party real-time ex-factory price monitoring.
Update cycles cover daily, weekly, and monthly: daily updates for flat glass original sheet ex-factory prices, weekly updates for kiln operation data across each production region, and monthly releases of industry capacity and supply-demand balance reports.
Document structures include structured parameter tables, research report summaries, and upstream and downstream linkage data. Fields include thickness (mm), density (g/cm³), ex-factory price (yuan/weight box), daily kiln melting capacity (tons/day), and more. Some documents include region tags and timestamps.
What constraints do these characteristics impose on deployment and upgrade
The multi-frequency updates, numerous structured fields, and clear region tags of glass investment research data create clear constraints for deployment and upgrade.
Daily high-frequency data requires configuring stable scheduled synchronization tasks. During upgrades, synchronization links must be retained to avoid data gaps. Multi-field structured documents require presetting field mapping rules during deployment, to ensure thickness and price data from different sources are uniformly matched to standard units.
Vector retrieval needs tied to region tags require configuring corresponding dimension indexes during deployment. During upgrades, existing index structures must be retained to prevent data association shifts.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Structured parameter tables and long-cycle research report documents in the glass industry are lengthy, requiring longer parsing durations |
UPLOAD_FILE_MAX_SIZE | 200-500 MB | Some regional kiln operation historical monitoring data collections have large file sizes, requiring an increased upload limit |
maxContext | 800-1200 characters | Core data fields for glass investment research are concentrated. Excessively long contexts introduce redundant information that reduces retrieval accuracy |
Recall count | Top 8-12 entries | Glass investment research needs to balance upstream and downstream linked data. Excessive recall leads to scattered results |
SYNC_INTERVAL | 3600 seconds | Daily updated flat glass ex-factory price data requires hourly synchronization to ensure data timeliness |
VECTOR_DB_INDEX_TYPE | IVFFlat | Adapts to the multi-region, multi-dimensional vector retrieval needs of the glass industry, balancing retrieval speed and accuracy |
The parameter values provided on this page are standard recommended starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing values.
Three common errors
- Symptom: An error
worker terminated due to reaching memory limitis returned when creating a knowledge base. Cause: Memory thresholds are not adjusted for large structured documents in the glass industry. Default memory configurations are insufficient to support parallel parsing of multiple documents. - Symptom: Scheduled synchronization tasks fail to trigger after migrating an existing deployment to a new server. Cause: Local configuration files and vector database index files are not migrated. Only the container image is transferred without retaining local data mapping paths.
- Symptom: An error
Failed to create post presigned urlis returned when uploading research report documents after upgrading to version 4.14.0. Cause: Object storage access key configurations are not updated, or storage interface parameters for the new version are not adapted.
How to confirm configurations are properly set
- Upload a single large-volume glass industry monitoring data document. Verify that the parsing task completes within the preset timeout threshold, which must match document parsing duration requirements.
- Manually trigger a scheduled synchronization task. Verify that newly added latest price data in the knowledge base matches external data sources. The synchronization cycle must match the data update frequency.
- Search for regional glass product keywords. Verify that the number and relevance of recall results match preset configurations. The recall rules must adapt to the linkage needs of investment research data.
- Switch to a non-x86 architecture server. Verify that service deployment and startup processes run normally. Image adaptation must match the server architecture type.
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.