What This Category of Data Looks Like
Coal chemical industry research reports mainly come from official releases by industry associations, research reports from securities firm industry teams, professional consulting institutions, and regular announcements of listed companies. The update rhythm adjusts with industry policy changes, production capacity data updates, and quarterly industry review trends. There is no fixed cycle, but core industry reports are mostly released quarterly. Document structures typically include overall industry overviews, segmented process route analyses, production capacity and output data, cost calculation models, policy interpretations, and market outlooks. Fields include standardized numeric fields such as statistical cycle, capacity unit (ten thousand tons/year), cost unit (yuan/ton), project investment amount (100 million yuan), plus metadata like report release date and releasing institution.
Constraints These Characteristics Impose on Workflow Orchestration
The multiple heterogeneous sources of coal chemical industry research reports require configuring multi-source data access nodes. Format unification and deduplication processing must be applied to reports released by different institutions. The non-fixed update rhythm requires the workflow to support both scheduled trigger and manual trigger modes, to ensure timely synchronization of the latest research reports. Content with multiple segmented process branches requires configuring conditional branch nodes. Split traffic to corresponding processing links based on the report's process type, such as coal-to-olefins or coal-to-natural gas. Diverse numeric fields and units require configuring field mapping nodes. Unify units and formats of data such as production capacity and cost from different sources, to avoid unit confusion in subsequent retrieval and Q&A links. The long length of single research reports requires configuring text splitting nodes, to avoid exceeding the model's context window limit.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The length of a single coal chemical industry research report mostly ranges from 5000 to 10000 characters. Reserve sufficient context to accommodate complete report fragments and queries |
Recall Count | Top 8–12 entries | The coal chemical sector has high professionality, and the number of core relevant research reports is limited. Excessive recall will introduce irrelevant content |
Similarity Threshold | 0.75–0.85 | There are many specialized terms in the coal chemical sector. A threshold is needed to filter low-relevance non-specialized reports and avoid redundant retrieval results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single coal chemical industry research reports have long lengths. Sufficient time is required for parsing processes including text splitting and metadata extraction |
Scheduled Trigger Interval | 7 days | Core industry reports are updated quarterly. Weekly synchronization ensures data timeliness while avoiding excessive resource occupation |
Reranked Return Count | Top 4–6 entries | After secondary reranking of recalled reports, retain the 4 to 6 most relevant entries for Q&A generation, balancing accuracy and response speed |
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.
Three Common Misconfigurations
- Phenomenon: When calling the workflow via API using version v4.8.10 or higher, an empty response is returned with a status code of 200. Cause: The knowledge base assistant node nested in the workflow is not correctly associated with the coal chemical industry research report-specific knowledge base, or the data source synchronization trigger is not configured.
- Phenomenon: A
quote type errorerror prompt pops up when referencing knowledge base fields in the workflow. Cause: The referenced variable type does not match the input requirements of the target node. For example, numeric production capacity data is directly passed to a text generation node without completing type conversion. - Phenomenon: When attempting to connect multiple upstream branches to the same node, the link cannot be connected normally. Cause: Multi-link access permission for workflow nodes is not enabled. By default, most nodes only support single upstream link access.
How to Confirm Proper Configuration
- Manually upload a coal chemical industry research report, trigger the workflow retrieval, and check whether the returned results include the core content of the report.
- View the workflow log panel, confirm that the scheduled trigger task executes at the set interval, and there are no parsing timeout or access failure records.
- Test the variable reference function, enter preset coal chemical industry terminology, and confirm that no
quote type errorerror occurs. - Switch multiple upstream branches to trigger the conditional branch node, confirm that the node can correctly receive and shunt different types of research report data.
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.