What This Category of Data Looks Like
Coal chemical investment research data originates from multiple public sources: coal industry association reports, public financial reports of coal chemical enterprises, real-time monitoring data from coke ovens and gasifiers, commodity price platforms, patent documents, and public environmental impact assessment documents. Update frequencies vary widely. Industry capacity and policy data is updated quarterly. Product spot prices are updated daily. Working condition monitoring data is updated minute by minute. Available documents include structured capacity ledgers, long-form research reports, and semi-structured working condition parameter tables. Fields include product brand, designed capacity, actual operating load, and energy consumption per unit product. Common units are ten thousand tons per year, yuan per ton, and kilowatt-hours per ton of standard coal.
What Constraints Do These Characteristics Impose on Deployment and Upgrade?
The multi-source heterogeneous nature, varied update frequencies, and specific field units of coal chemical investment research data create multiple constraints for deployment and upgrade. Multi-source data includes structured ledgers, real-time working condition data, and long-form research reports. During deployment, preprocessing pipelines must be configured to adapt to different parsing formats. During upgrade, support must be added for new data source types. Data with different update frequencies requires differentiated synchronization strategies. During deployment, scheduling rules must be preconfigured. During upgrade, support must be added for dynamically adjusting synchronization intervals to match business changes. Specific field and unit requirements mean standardized mapping rules must be configured during deployment. During upgrade, support must be added for new coal chemical sub-product fields to avoid data parsing errors.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Long-form industry research reports and structured capacity ledgers require extended processing time. This setting prevents task interruptions from timeouts. |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Large coal chemical research report files containing multi-page structured data typically do not exceed this threshold. It supports full document upload requirements. |
chunkSize | 1000–1200 characters | Balances semantic completeness of long-form text and vector retrieval accuracy. It matches the paragraph structure characteristics of coal chemical industry research reports. |
RECALL_TOP_N | Top 10 entries | Covers valid information from different data sources. It prevents omission of key investment research data such as detailed working conditions and product prices. |
CLICKHOUSE_CONNECTION_POOL_SIZE | 10–15 | Meets concurrent query demands for real-time coal chemical working condition data. It prevents retrieval failures caused by exhausted connection pools. |
RE_RANK_TOP_N | Top 3 entries | Focuses on key information for core coal chemical products. It improves the relevance of final retrieval results. |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- When upgrading from 4.8.17 to 4.8.20, running the initialization script after starting the container returns an
exit code 1error. The new version’s database initialization script adds validation for ClickHouse connection parameters. Validation fails if the corresponding environment variables are not configured in advance. - After integrating SearXNG, test retrieval returns no results. The backend returns a
504 Gateway Timeouterror. The query timeout parameter for SearXNG is not adjusted. Cross-source retrieval of multi-source coal chemical industry data requires longer response times. The default timeout setting is insufficient to cover full data source requests. - After configuring the ClickHouse data source, historical working condition data cannot be retrieved. Coal chemical-related fields are empty in retrieval results. Standardized field mapping rules are not configured. Fields such as
product_brandandoperating_loadin ClickHouse are not mapped to unified fields recognizable by the knowledge base. This prevents data from being indexed correctly.
How to Verify Correct Configuration
- Upload a coal chemical research report containing structured capacity ledgers. Check the field integrity of the parsed text. Confirm all preset mapped fields are correctly extracted.
- Run a manual data synchronization task. Review synchronization logs for connection timeout or parsing failure errors. Confirm the data source synchronization link is operational.
- Initiate a retrieval test for coal chemical products. Check if the number of returned results matches the preset retrieval configuration. Confirm no abnormal errors occur.
- Start the container and run the initialization script. Confirm the script returns
exit code 0with no parameter validation errors.
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.