What Data for This Category Looks Like
Photovoltaic investment research data mainly comes from publicly available industry research reports, quarterly and annual financial reports of listed companies, official technical documents from component manufacturers, irradiation data from meteorological observatories, and grid-connected operation logs. Update frequencies vary significantly: industry research reports are updated weekly or biweekly, financial reports are released quarterly or annually, manufacturer technical parameters are updated irregularly alongside new product iterations, and meteorological and grid data is updated hourly. Document structures fall into three categories: standardized parameter tables, project feasibility analysis texts, and policy clauses. Core fields include component peak power (unit: Wp), installed capacity (unit: GW), irradiation amount (unit: kWh/m²), and levelized cost of electricity (unit: yuan/kWh).
What Constraints These Characteristics Impose on Multiturn Conversation and Prompt Engineering
The multi-source update rhythms, varied document structures, and specialized field units of photovoltaic investment research data create clear constraints for multiturn conversation and prompt configuration. Significant differences in multi-source data update cycles require dynamic matching of the latest data sources during multiturn conversations to avoid calling outdated parameters. Different document structures correspond to different retrieval logic: standardized parameter tables require precise matching of field names, while text documents need paragraph splitting to prevent context overflow. The specialized nature of field units requires clear unit validation rules in prompts to prevent calculation errors from confusing Wp and kW, or GW and MW. Hourly updated meteorological data needs support for real-time pull trigger configuration, and the context window must be extended to accommodate multi-turn parameter comparison needs.
How to Set Configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Photovoltaic investment research documents are mostly long-form research reports and multi-group parameter comparisons, requiring support for multiple parameter contexts during multiturn conversations to avoid truncation of critical data mid-conversation |
recallTopK | Top 8–12 entries | Photovoltaic data includes multi-dimensional information such as component parameters, project indicators, and policy clauses, requiring sufficient retrieved relevant segments to cover all investment research topics |
similarityThreshold | 0.72–0.80 | Photovoltaic field units are closely linked to numerical values, requiring a relatively high similarity threshold to filter irrelevant non-photovoltaic documents and ensure retrieved content accurately matches investment research topics |
rerankTopN | Top 4–6 entries | Rerank retrieved photovoltaic-related segments to prioritize newly published research reports and parameter data, adapting to the fast iteration characteristics of the photovoltaic industry |
UPLOAD_FILE_MAX_SIZE | 200 MB | Photovoltaic research reports and project documents are mostly dozens-of-page PDF or Excel files, requiring support for large file uploads to fully load single investment research materials |
streamResponse | Calibrated based on actual testing | Adapt to the requirements of the v4.8.10 version's non-login conversation window, confirming that the streaming output configuration matches the business scenario to avoid conversation return lag |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules, and specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Parameter units are mixed up in multiturn conversation output, such as directly adding component Wp power and system kW power. Cause: The prompt does not explicitly require unit validation for photovoltaic-specific fields, leading the model to confuse numerical units across different dimensions.
- Phenomenon: The conversation log export interface returns empty fields or incomplete data. Cause: No reasonable
MAX_DIALOG_EXPORT_RECORDSparameter value is configured, or the full storage switch for conversation logs is not enabled, resulting in only partial historical records being exported. - Phenomenon: After uploading aerial photos of photovoltaic projects or screenshots of component parameters, the model cannot recognize the values and units in the images. Cause: No exclusive prompt configuration for image parsing is enabled, or no photovoltaic industry visual knowledge base is loaded, preventing the model from matching photovoltaic-related parameters in the images.
How to Confirm Correct Configuration
- Initiate a multiturn conversation containing multiple sets of photovoltaic parameters, verify that the returned results correctly distinguish units such as Wp, kW, and GW with no calculation errors.
- Call the conversation log export interface, check that the number of returned records matches the actual number of conversations, and that the fields include complete user questions and model replies.
- Upload a screenshot containing photovoltaic component parameters, confirm that the model can accurately recognize the values and units in the image and link them to corresponding parameters in the knowledge base.
- Initiate a conversation in the non-login window of the v4.8.10 version, check that the returned results use streaming output with no lag or delay.
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.