Multi-turn Dialogue and Prompt Engineering for Energy Storage Financing Daily Reports

Energy storage financing daily report data comes from local energy bureau project filing public notices, industry association financing statistics

What the data for this category looks like

Energy storage financing daily report data comes from local energy bureau project filing public notices, industry association financing statistics ledgers, and broker public research reports. The update schedule synchronizes all newly added and updated energy storage financing project information from the previous day every early morning. A single data document includes these fields: project name, energy storage technology type, financing amount, investor subject, landing province, filing date, and installed capacity. Financing amount uses ten thousand yuan or hundred million yuan as its unit. Installed capacity uses megawatt (MW) or kilowatt-hour (kWh) as its unit. Date fields follow the YYYY-MM-DD format.

Constraints on multi-turn dialogue and prompt engineering

The fields of energy storage financing daily reports include subdivided attributes such as professional technology types and installed capacity units. Multi-turn dialogue must retain the context of user screening conditions to avoid repeated questions. Daily updated incremental data requires prompts to preset date range matching rules, supporting context association for daily and weekly filtering. There are many subdivided categories of energy storage technology types. Prompts must clearly preset classification tags to reduce fuzzy matching errors. Financing amounts use two different units: ten thousand yuan and hundred million yuan. Multi-turn dialogue must actively verify unit consistency to avoid calculation or display errors.

How to set the configurations

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersSingle project information for energy storage financing daily reports is relatively long, and multi-turn dialogue needs to retain multiple rounds of screening conditions and historical context
systemPromptPreset energy storage type classification tags + field verification rulesThere are many subdivided categories of energy storage technology types, so clear classification mapping rules are required to avoid fuzzy matching errors
recallTopKTop 8–10 entriesThe number of newly added energy storage financing projects per day is relatively large, so enough candidate projects must be covered to meet user screening needs
similarityThreshold0.75–0.85Balance precision and recall coverage, avoiding missing energy storage financing projects of subdivided types
PARSE_FILE_TIMEOUT_SECONDS300 secondsBatch data parsing for energy storage financing daily reports requires a long duration, to avoid parsing failure due to timeout
frontendInputPlaceholderPlease enter screening conditions for energy storage financing projects (such as province, amount range, date)Guide users to clearly input requirements and reduce invalid dialogue rounds

The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.

Three frequently made mistakes

  • Phenomenon: The configured systemPrompt does not take effect, and the dialogue result does not return according to the preset energy storage classification rules. Cause: The prompt is not bound to the corresponding energy storage financing daily report knowledge base, or the prompt is not correctly filled in the system prompt configuration item.
  • Phenomenon: Context is lost during multi-turn dialogue, and subsequent user questions cannot be associated with previous screening conditions. Cause: The maxContext configuration value is less than the total character count of historical dialogue, or the dialogue context retention switch is not enabled.
  • Phenomenon: The recall results include financing amount data with inconsistent units, or cannot match the unit requirements specified by the user. Cause: The prompt does not add unit verification rules, and the knowledge base parsing does not unify the amount unit format.

How to verify successful configuration

  • Enter the knowledge base configuration interface, confirm that the system prompt has been bound to the energy storage financing daily report knowledge base, and the content includes energy storage type classification and field verification rules.
  • Initiate more than two rounds of screening dialogue, confirm that subsequent questions can automatically associate the screening conditions entered in the previous round.
  • View the knowledge base parsing log, confirm that all project fields have been correctly extracted and the unit format meets preset requirements.
  • Check the front-end dialogue page configuration, confirm that only necessary interaction and result display modules are retained.

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.