What the Data for This Category Looks Like
Wind power research reports originate primarily from public research documents published by industry associations, securities firm research institutes, and power equipment manufacturers. Updates follow a set schedule: core data such as industry installed capacity and utilization hours are updated monthly, in-depth industrial chain research reports are released quarterly, and special interpretations are issued temporarily when new policies are adopted. Document structures include modules such as policy summaries, installed capacity data, cost breakdowns, upstream and downstream industrial chain analysis, and project cases. Core fields include installed capacity, utilization hours, tower height, blade diameter, plus metadata like publishing institution, publishing date, and policy document number. The corresponding units are GW, hours, meters, and meters respectively.
Constraints Imposed on Workflow Orchestration
The frequent update cycle of wind power research reports requires the workflow to include a scheduled trigger node for regular synchronization of the latest report data. The long-form document structure requires the workflow to support segmented parsing parameters to prevent truncation of core professional data. The multi-module content layout requires the workflow to include a result filtering node to retain only the final required integrated content. The specialized fields and their associated units require the workflow to include a parameter verification link to ensure matched units during retrieval align with business requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single-segment in-depth content of wind power research reports is relatively long, to avoid truncation of core data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single wind power research report has many pages, parsing time exceeds the default general document configuration |
Recall count | Top 8–10 entries | Wind power research reports involve multiple links of the industrial chain, requiring sufficient coverage of segmented data |
Similarity threshold | 0.72–0.78 | There are many professional terms in wind power, requiring a balance between recall accuracy and coverage |
Reranked return count | Top 3–5 entries | Core wind power data is concentrated in a small number of research report chapters, to avoid redundant content |
Scheduled trigger cycle | Once per week | Wind power industry data is updated monthly, weekly synchronization can cover the latest content |
The parameter values provided on this page are common 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 the configuration.
Three Common Configuration Mistakes
- Phenomenon: After multiple AI dialogue modules are executed in the workflow, the final output includes all intermediate dialogue content. Cause: No result filtering node is added, and the configuration to retain only the output of the last AI dialogue module is not specified.
- Phenomenon: Parsing timeout errors occur when parsing wind power in-depth research reports with more than 40 pages. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default configuration cannot cover the parsing time of long documents. - Phenomenon: Research report content from other power equipment segments such as new energy vehicles is mixed into retrieval results. Cause: The similarity threshold is set too low, and non-wind power related professional term matching results are not filtered.
How to Verify Successful Configuration
- Run a single workflow test, check that the output only contains the content of the last AI dialogue module, confirming that the result filtering configuration takes effect.
- Upload a wind power research report with more than 40 pages, check that the parsing task status has no timeout errors, confirming that the timeout parameter configuration is reasonable.
- Enter a wind power professional question, check that the retrieval results only contain wind power related research report content, confirming that the similarity threshold and recall configuration match business requirements.
- Check the knowledge base update log, confirm that the scheduled trigger task is executed according to the preset cycle, confirming that the trigger cycle configuration is correct.
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.