What Data for This Category Looks Like
Coal chemical industry research report data is sourced primarily from national industry associations, coal chemical industry research institutions, public announcements of listed coal-to-chemical enterprises, and professional industry databases. Update cycles cover monthly industry supply and demand reports, real-time enterprise dynamic announcements, and weekly process parameter tracking documents. Document structures include fields such as production capacity scale, unit product energy consumption, raw coal consumption, project investment budget, policy compliance requirements, regional production capacity planning, and carbon emission accounting data. Production capacity units are ten thousand tons per year, energy consumption units are kilograms of standard coal per ton of product, and investment amount units are hundred million yuan. Some research reports include process flow diagrams and regional layout maps.
Constraints for Tool Calling and Plugins
Coal chemical industry research reports contain large volumes of structured process parameters and quantitative data with specific units. Tool calling must support precise matching of dedicated fields such as production capacity and energy consumption. Full-text retrieval alone cannot meet professional data requirements. Industry data update cycles are layered. Plugins must support dual modes: scheduled pulling of monthly industry reports and real-time crawling of enterprise announcements. This ensures the timeliness of retrieval results. Fields with specific units require tool calling to automatically verify unit consistency. This avoids cross-unit calculation errors and reduces the risk of misuse of professional data. Some research reports include process flow diagrams and regional layout maps. Multimodal parsing plugins must be called to extract parameter and layout information from the diagrams, improving the completeness of retrieval content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The text length of individual coal chemical industry research reports typically ranges from 5000 to 10000 characters. This interval can fully cover core process and supply and demand data, avoiding truncation of critical parameters |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Coal chemical industry research reports include multiple process flow diagrams and structured tables. Parsing time is longer than that of general documents. 120 seconds covers parsing duration for most scenarios |
Recall count | Top 8–10 results | Research reports in coal chemical industry subfields have strong professional relevance. 8 to 10 results can cover core supply and demand and process information. Excessive results will introduce redundant content |
Similarity threshold | 0.75–0.85 | Semantic similarity of coal chemical industry professional terms is relatively high. This threshold can filter low-relevance general industry content and retain professionally matched research reports |
MCP_ENABLED | Enabled | Coal chemical industry research reports require calling multimodal plugins to parse flow diagrams. It also supports calling external industry data interfaces via MCP functionality |
UPLOAD_FILE_MAX_SIZE | 50 MB | Individual in-depth coal chemical industry research reports include multiple high-definition flow diagrams. File volume typically ranges from 10 to 40 MB. 50 MB covers most upload scenarios |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- When calling external industry data interfaces, the
aiPointsNotEnougherror code is returned. This occurs because the tool calling quota is not configured, or the quota is insufficient to support the number of calls required for coal chemical industry research report retrieval. - After uploading XLSX format data tables from coal chemical industry research reports, AI conversation cannot be triggered. This occurs because the
PARSE_FILE_AUTO_EXTRACTparameter is not enabled, or structured parsing rules for XLSX files are not configured, leading to failure to correctly extract table content into retrievable vectors. - When enabling multimodal plugins to parse process flow diagrams, parameters within the diagrams cannot be extracted. This occurs because the multimodal plugin's
MODEL_TYPEis not configured to a type that supports image parsing, or the multimodal plugin is not bound to the coal chemical industry research report retrieval scenario in tool calling configurations.
How to Verify Correct Configuration
- Upload a single PDF or XLSX file of a coal chemical industry research report. Check if the parsed text fragments include dedicated fields such as production capacity and energy consumption to confirm that file parsing configurations are effective.
- Submit a research report retrieval request. Check if the tool calling logs return any error code other than
aiPointsNotEnough, or if retrieval results are returned normally, to confirm that interface quota configurations are correct. - Enable the multimodal plugin and upload a coal chemical industry process flow diagram. Check if the parsed results returned by the plugin include process parameters within the diagram to confirm that the multimodal plugin is bound correctly.
- Adjust the
Similarity thresholdparameter. Verify changes in the relevance of retrieval results to confirm that the threshold configuration meets the professional retrieval needs of the current scenario.
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.