What this type of data looks like
Wind power investment research data sources include fan SCADA operational data, project feasibility study reports, industry technical standards, listed company financial reports, and regional meteorological observation data. Update frequencies cover minute-level real-time operational data, quarterly/annual financial report updates, and synchronized updates when policies and standards are revised. Documents include structured parameter tables (with fields such as single-unit capacity, hub height, blade length, with units of kW and meters), semi-structured feasibility study chapters, and unstructured operation and maintenance logs. Some data requires linking project geographic location and grid connection time dimensions to form cross-source associated datasets.
What constraints do these characteristics impose on multi-turn dialogue and prompt configuration
The multi-source and multi-update-frequency characteristics of wind power investment research data impose multiple constraints on multi-turn dialogue and prompt configuration. Minute-level operational data requires the context window to limit the valid time range to avoid calling expired data. Structured parameter fields are numerous with clear units, so prompts must specify field extraction formats and unit verification rules to prevent parameter confusion. The need to link cross-project geographic locations and grid connection times requires retaining previously mentioned project identifiers in multi-turn dialogue to ensure accurate context association. Long document content requires segmented recall, so prompts must limit the recall scope to avoid irrelevant content interfering with response logic.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
max_history_tokens | 8000–12000 characters | Wind power investment research document single-paragraph parameter descriptions are mostly 500-1000 characters. 8000-12000 covers 3-5 complete rounds of investment research dialogue context, avoiding information overflow |
recall_top_k | Top 8–12 entries | Wind power investment research data includes three core datasets: project, fan, and meteorological. Recalling 8-12 entries covers all-dimensional parameters and avoids recall redundancy |
similarity_threshold | 0.75–0.85 | Wind power parameter fields have high semantic similarity. 0.75-0.85 filters low-relevance general documents and retains accurate project-level data |
file_chunk_size | 1000–1500 characters | Single chapters of wind power feasibility study reports are dense with parameters. 1000-1500 character segmentation preserves complete parameter groups and avoids splitting that breaks field association |
prompt_template | Fixed wind power investment research-specific template, must include unit verification and context association prompts | Wind power data has multi-unit and cross-dimensional association requirements. A dedicated template unifies response formats and verification rules |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single wind power SCADA data logs or large feasibility study report files have large sizes. 500 MB covers most single-file upload requirements |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: The fan model mentioned in a multi-turn dialogue does not match the subsequent parameter query results. Cause: Project identifiers or geographic location information from previous dialogue are not retained, and historical parameters are not correctly loaded into the context window.
- Phenomenon: After uploading wind power SCADA logs, the dialogue cannot generate responses based on the attached content. Cause: The attachment parsing switch is not enabled, or the
file_chunk_sizeconfiguration is too large, causing parsing timeouts. - Phenomenon: When calling a third-party deployed model, custom prompts do not take effect, and responses deviate from the preset direction. Cause: The prompt is not mounted to the pre-prompt node of the dialogue chain, or the configured
max_history_tokensis too small, causing the prompt to be overwritten by the context.
How to confirm the configuration is correct
- Initiate a two-round dialogue including fan model and wind speed parameters, check whether the response associates information mentioned in both rounds, and confirm that context retention works normally.
- Upload a segment of a wind power feasibility study report, initiate a query based on the attached content, check whether the response references parameter fields within the attachment, and confirm that attachment parsing and recall work normally.
- Edit the custom prompt and initiate a query, check whether the response conforms to the preset format and rules of the prompt, and confirm that the prompt is mounted correctly.
- View the dialogue history storage record, confirm that all interactive content is correctly stored without loss or truncation, and confirm that the context configuration takes effect.
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.