What the data for this category looks like
Wind power research report data comes from three main sources: specialized power equipment sector reports from securities research institutes, public data from wind power industry associations, and operational disclosure documents from wind turbine and component manufacturers. Update cadence follows industry data release timelines and securities research report publishing cycles, with no fixed daily update frequency.
Document structures include industry overview, installed capacity data, supply chain costs, policy analysis, project cases, and embedded tables and parameterized content. Fields include professional parameters such as wind power installed capacity, tower height, blade length, levelized cost of electricity, with corresponding units of GW, meters, meters, yuan per kilowatt-hour respectively. Some documents include project implementation time and regional information.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Professional parameters and units for wind power research reports have strict requirements. Multi-turn dialogue must retain specific units mentioned by users to avoid parameter confusion.
The multi-module document structure requires multi-turn dialogue to distinguish different contextual topics. For example, differentiate questions about supply chain costs and installed capacity data.
The non-fixed update characteristic requires prompts to explicitly call the latest uploaded research report data, without relying on cached content.
The large number of tables and parameterized content requires prompts to specify the format for extracting specific fields. This ensures accurate recall of information from corresponding paragraphs during multi-turn questioning.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single wind power research report documents have long context. Multi-turn dialogue must retain professional parameters and research report fragments from user questions to avoid context overflow |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Wind power research reports contain many tables and charts, which take longer to parse. This avoids premature timeout causing document parsing failure |
Recall Count | Top 8–12 results | Professional parameters of wind power research reports are scattered across different paragraphs. Sufficient relevant fragments must be recalled to cover the contextual needs of multi-turn questions |
Similarity Threshold | 0.72–0.78 | Wind power research reports contain many professional terms. A threshold that is too low recalls irrelevant content, while a threshold that is too high misses associated information of detailed parameters |
Chunk Length | 1000–1500 characters | Professional paragraphs of wind power research reports contain continuous parameters and analysis. Too long a chunk splits information connections, while too short a chunk loses context |
UPLOAD_FILE_MAX_SIZE | 200 MB | Single specialized wind power research report contains many charts and appendix data. Allowing larger file uploads covers complete content |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Pitfalls
- Phenomenon: Wind power professional parameters mentioned by users in multi-turn dialogue are forgotten in subsequent questions, and context is lost. Cause: The
maxContextconfiguration value is too small, failing to retain sufficient multi-turn dialogue context content. - Phenomenon: After uploading a wind power research report via API call, the retrieval function cannot match the uploaded file content. Cause: The
file_idparameter was not correctly included in the API request to associate the uploaded file. - Phenomenon: After configuring the
AI Dialogue Node, test output content is directly inserted into the user conversation flow, and task results cannot be obtained separately. Cause: The node's output mode was not set to return only results, without appending to the conversation history.
How to Confirm Correct Configuration
- Initiate two consecutive questions. First ask about the standard unit for wind turbine tower height, then ask for specific height values based on that unit. Verify that the system correctly associates the unit information to complete the response.
- Upload a wind power research report file, test recall results via the retrieval function, and verify that recalled content covers professional parameter paragraphs in the research report.
- Check system parsing logs to confirm that the uploaded wind power research report has no timeout errors, and parsed content fully includes tables and appendix information.
- After configuring the
AI Dialogue Node, initiate a test request, and verify that the node only returns task results without appending content to the user conversation flow.
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.