Policy and Regulatory Basis Q&A for State-owned Industrial Funds: Multi-turn Dialogue and Prompt Engineering

Policy and Regulatory Basis Q&A for State-owned Industrial Funds: Multi-turn Dialogue and Prompt Engineering

What the data for this category looks like

State-owned industrial fund policy data is sourced from publicly released official documents of the State-owned Assets Supervision and Administration Commission of the State Council, the Ministry of Finance, local state-owned assets supervision and administration institutions, and industrial fund competent departments. Updates follow policy releases, revisions, or fund establishment adjustments, with no fixed cycle. Document structures include fields such as document number, issuing unit, effective date, scope of application, capital investment restrictions, and exit mechanism. Single documents are mostly thousands of characters long. Field units include date formats, capital amount units, and policy level identifiers.

Constraints imposed by these characteristics on multi-turn dialogue and prompt engineering

Single state-owned industrial fund policy documents have relatively long lengths. Multi-turn dialogue must limit total context length to avoid model overflow, while retaining enough historical dialogue information to support user follow-up questions. Policy updates have no fixed cycle, so prompt templates need regular adaptation to the latest policy field requirements. This ensures responses include the latest policy details. Documents contain exclusive fields such as fund level and investment restrictions. Prompts for multi-turn dialogue must clearly define retrieval scope to prevent mixing in policy data from other categories. Policies have strong timeliness, so multi-turn dialogue must guide the model to confirm the current policy version. This stops outdated content from being returned.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended SettingRationale
Max Context8000–12000 charactersAdapts to the single-document length of state-owned industrial fund policy documents and the historical retention needs of multi-turn dialogue, avoiding context overflow
Chunk Length1500–2000 charactersMatches the natural paragraph length of policy clauses, avoiding splitting that damages the logical integrity of policies
Single Retrieval CountTop 6 entriesState-owned industrial fund policies have relatively high relevance; controlling the number of retrievals reduces model processing load
variablesPass the unique identifier of the corresponding state-owned industrial fund policy libraryAccurately limit the retrieval scope to avoid mixing in policy data from other categories
Prompt TemplateCalibrated based on actual testingMust explicitly require responses to include exclusive fields such as policy document number, effective date, and scope of application, aligning with the characteristics of category data
chatIdBind the unique identifier of the user sessionAchieve context continuity management for multi-turn dialogue, ensuring that follow-up user questions are associated with historical dialogue content

Three Common Misconfigurations

  • Phenomenon: The model’s response does not include exclusive fields such as policy document number or effective date. Cause: The prompt template does not explicitly require extracting exclusive information for state-owned industrial fund policies, leading to missing key content in responses.
  • Phenomenon: Multi-turn dialogue context is lost, and follow-up questions cannot be associated with historical queries. Cause: The chatId binding for session identifier management is not implemented, resulting in incorrect retention and calling of dialogue history.
  • Phenomenon: Retrieval results mix in policy content unrelated to state-owned industrial funds. Cause: The variables configuration is not used to limit the scope of the retrieved policy library, causing cross-category data confusion.

How to Confirm Configurations Are Correctly Set

  • Initiate a single-round query. Verify that returned results include exclusive fields such as policy document number and effective date. This confirms the prompt configuration is active.
  • Initiate consecutive multi-round queries. Verify that follow-up questions can associate with historical context. This confirms the chatId and dialogue history configurations are correct.
  • Retrieve a specific state-owned industrial fund policy. Verify that returned results only include policy content from the corresponding category. This confirms the variables configuration is active.
  • Attempt to upload a policy document. Verify that the system can correctly parse and associate the document with dialogue context. This confirms the attachment upload configuration is active.

The values provided are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.