Multi-turn Dialogue and Prompt Engineering for Optoelectronics Financing Daily Reports

Data sources include publicly disclosed financing announcements of listed or quoted companies from the Shanghai, Shenzhen, and Beijing Stock

What the data for this category looks like

Data sources include publicly disclosed financing announcements of listed or quoted companies from the Shanghai, Shenzhen, and Beijing Stock Exchanges, industrial financing updates released by industry associations, and public financing entries from third-party financial data platforms. The system completes daily data aggregation within one hour after market close on each trading day. A single record follows a standard structure that includes: financing entity name, affiliated sub-sector, financing amount, financing round, investor list, disclosure date, and valuation (if publicly available). All field units use RMB ten thousand yuan, and disclosure dates follow the YYYY-MM-DD format.

Constraints for multi-turn dialogue and prompt engineering

Daily updated data requires multi-turn dialogue to fix retrieval scope to optoelectronics financing records with disclosure dates within the specified interval, to avoid interference from cross-category data. The multi-field nested structure requires prompts to explicitly specify return fields to prevent redundant output. Users often launch multi-dimensional follow-up questions around a single entity, so multi-turn dialogue must retain the entity identifier from the initial query, and automatically associate context when processing subsequent follow-up questions. Some records have undisclosed valuation and investor details; prompts must specify processing rules for undisclosed fields to avoid information leakage or misleading output.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext10-15 turns of dialogue contextMulti-turn follow-up questions for optoelectronics financing daily reports usually revolve around multi-dimensional information of a single entity. 10-15 turns can cover the complete query chain and avoid context loss
retrieval_top_kTop 8 entriesThe number of daily financing entries in the optoelectronics sector is moderate. The top 8 entries can cover mainstream financing updates and avoid redundant retrieval
similarity_threshold0.75-0.85Precise matching of financing entities in optoelectronics sub-sectors is required to filter out financing records from unrelated fields
prompt_templateAnswer only based on the provided optoelectronics financing daily report data. If undisclosed fields are involved, mark them as undisclosedClearly define data scope and output rules, aligning with the characteristics of category data
filter_conditionFilter by industry field to "Optoelectronics"Precisely limit the retrieval scope to avoid cross-category data being included in results
conversation_history_enabledEnabledMulti-turn dialogue must retain context such as the user's queried entity and date, and automatically associate context when processing subsequent follow-up questions

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.

Three common misconfigurations

  • Issue: Calling the dialogue interface returns a 422 status code, with a prompt indicating abnormal parameter format. Cause: No screening limit for the optoelectronics category was added to prompt_template, causing retrieval parameters to not meet interface verification rules.
  • Issue: Local conversation records disappear after the dialogue window is refreshed, while background conversation records remain queryable. Cause: The conversation_history_persistence configuration was not enabled. Context is only stored in memory, and will be lost after page refresh or container restart.
  • Issue: Sensitive information is still exposed after hiding user-visible content via configuration. Cause: No explicit requirement to filter undisclosed fields such as valuation and investor details was added to prompt_template, causing redundant information to be output.

How to confirm proper configuration

  • Launch a single-turn query asking about the day’s optoelectronics sector financing updates, and verify that the industry attribute of returned results matches the target category.
  • Launch two consecutive queries: first specify a financing query for an optoelectronics sub-sector, then follow up with a question about the investor information of the corresponding entity, and verify that the context automatically associates the entity from the initial query.
  • View the dialogue configuration panel, and confirm that filter_condition has added the optoelectronics category screening rule, and conversation_history_enabled is set to enabled.
  • Call the test interface to send a dialogue request, and verify that the returned status code is 200 with no abnormal parameter format error messages.

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.