This document covers deployment and upgrade workflows for coking coal research report retrieval and question answering. The target client industry is coking coal, and the core capability area is deployment and upgrade.
What the Data for This Category Looks Like
Coking coal research report data originates from securities firm industry reports, domestic public coal industry statistical datasets, futures delivery standard documents, and production scheduling data from major producing areas. Update cadences vary significantly: securities firm reports are released irregularly alongside industry events, industry supply and demand data updates weekly or monthly, and delivery grade standards are revised annually.
Document structures include core supply and demand logic, standardized indicator tables, and price trend analysis. Fields include coking coal grade, origin, settlement unit price (unit: yuan/ton), inventory scale, and capacity utilization related parameters. Some research reports include monthly supply and demand balance sheets.
Constraints Imposed on Deployment and Upgrade
The multi-source, mixed-format nature of coking coal research reports requires adapting parsing for multiple formats during deployment. Supported formats include PDF, Excel structured tables, and industry database export files. Custom segmentation rules must be configured specifically for multi-column supply and demand balance sheets.
Differing update cadences across data sources require configuring a tiered trigger mechanism for incremental updates. This mechanism distinguishes between event-driven research reports and periodic industry data.
The fixed nature of standardized indicator fields requires verifying extraction accuracy for core fields such as ash content and sulfur content during upgrades.
Context length limits for long, in-depth research reports require adjusting segmentation parameters to fit business requirements.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | In-depth coking coal research reports are often long documents; prevents timeout interruptions during parsing |
UPLOAD_FILE_MAX_SIZE | 1000–2000 MB | Supports uploading large-volume industry research reports and structured data files |
Segmentation Length | Segment by row (Excel tables), 800–1200 characters (PDF text) | Preserves row-level integrity of coking coal supply and demand tables, avoids truncation of long text contexts |
Recall Count | Top 8–10 results | Core logic of coking coal research reports is dispersed; sufficient recall coverage is needed for relevant content |
Similarity Threshold | 0.75–0.85 | Filters low-relevance content from general coal industry materials, retains only coking coal-specific research report data |
Reranked Return Count | Top 3–5 results | Focuses on core relevant content, avoids redundant result sets |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After upgrading the version, modifying the MongoDB configuration file, and restarting, a
502 Bad Gatewayerror appears, and the platform login page cannot be accessed. Cause: The authentication configuration for the original database connection was not retained during the upgrade, or the modified configuration parameter format does not meet MongoDB requirements, causing the service to fail to connect to the database. - Phenomenon: After uploading an Excel file with a multi-column coking coal supply and demand balance sheet, the automatic segmentation result is chaotic, with a single row of data split across multiple segments. Cause: The row-by-row segmentation configuration for Excel tables was not enabled, and the default character-by-character segmentation rule was used, which destroys the integrity of structured data.
- Phenomenon: When importing a workflow file exported from v4.6.7 into version v4.8.10, a
format incompatibleprompt appears, and the import cannot be completed. Cause: There are differences in the workflow orchestration JSON structure between versions, and format adaptation was not completed using the version compatibility conversion tool.
How to Verify Proper Configuration
- Upload a coking coal research report PDF and Excel supply and demand table, check that the parsed segments retain row-level integrity of the table, with no truncation or splitting.
- Initiate a search related to coking coal prices, verify that the similarity of recall results matches the preset threshold, with no low-relevance general industry content.
- After upgrading the version, verify normal database connection through the platform login page, with no error prompts.
- Import the workflow file for the corresponding version, check that orchestration nodes load completely, with no missing or abnormal error messages.
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.