What this category of data looks like
Power industry research reports mainly originate from publicly disclosed documents of China Electricity Council, regional power grid companies, and reports from professional energy consulting institutions. Update frequency is mostly monthly or quarterly. Some policy-related reports are updated alongside policy releases. Most documents are in PDF or structured report formats. Core fields include installed capacity, power generation, coal consumption for power supply, regional power grid load, and more. Common units are ten thousand kilowatts, hundred million kilowatt-hours, grams per kilowatt-hour, and others. Word count per document varies widely. Some in-depth reports can reach tens of thousands of words.
What constraints do these characteristics impose on model access and configuration
The long text span of power industry research reports requires adjusting context window parameters to avoid truncating core technical discussions. Specialized fields and unique units require configuring custom term mapping and unit standardization rules to ensure retrieval and response accuracy. The multi-column format of structured reports requires enabling table parsing configuration to fully extract multi-dimensional data from tables. Fixed monthly and quarterly update frequencies require configuring vector database scheduled synchronization tasks to ensure timeliness of retrieved data. Numerical information in embedded charts requires enabling image OCR parameters to extract key data from charts.
How to set configurations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the long text characteristics of power industry research reports to avoid truncation of core technical discussions |
PARSE_TABLE_ENABLE | Enabled | Power industry research reports contain multi-column structured data, requiring complete extraction of table fields such as installed capacity and power generation |
embeddingModel | text-embedding-3-large or locally adapted industry embedding models | Power industry research reports contain a large number of specialized terms, requiring adaptation to semantic representation accuracy for industry text |
SYSTEM_PROMPT | Please standardize unit expressions in power industry research reports, prioritize the use of national standard units, and provide standardized definitions for terms such as coal consumption for power supply and grid-connected capacity | Eliminates retrieval and response deviations caused by inconsistent units and differing term expressions in research reports |
VECTOR_SYNC_CRON | 0 0 2 * * * | Matches the monthly and quarterly update frequency of most power industry research reports, ensuring timeliness of retrieved data |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the large volume characteristics of large in-depth power industry research report PDFs |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Local model access entry cannot be found in the interface, with error prompt
model not found. Cause: Version 4.9.9 adjusted the configuration path for local models. Configuration must be completed in the Custom Models section under Model Management. - Phenomenon: Units in retrieval results are inconsistent, with multiple expressions such as ten thousand kilowatts and megawatts appearing simultaneously. Cause: Unit standardization rules in
SYSTEM_PROMPTare not configured, and the model did not perform standardized processing of units for specialized fields. - Phenomenon: Local embedding model cannot be accessed, with interface prompt
embedding service unavailable. Cause: Access address and port of the local embedding model are not configured in Vector Model Management, and cross-domain permissions of the local service are not enabled.
How to Confirm Configuration Is Successful
- Upload a test power industry research report, check if the parsed text fully retains numerical information from tables and charts, and verify that the parsed results match the original document.
- Initiate a research report retrieval query, verify that units in model responses are standardized, and specialized term expressions conform to preset rules.
- Check vector database synchronization logs, confirm that scheduled synchronization tasks execute normally according to the configured `VECTORSYNCCRON cycle, with no failed records.
- Initiate a test conversation using an overseas large language model or local model, confirm that the interface returns normally, with no errors such as
model not foundorservice unavailable.
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.