Party Building Learning Q&A for Medical Insurance Fund Supervision and Audit: Multi-turn Dialogue and Prompt Engineering

Party Building Learning Q&A for Medical Insurance Fund Supervision and Audit: Multi-turn Dialogue and Prompt Engineering

What this category of data looks like

The data for this category comes from medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, report clues, and audit work specification documents related to party building learning. Update frequency is monthly. Daily processed documents include audit notices, inspection work drafts, suspicious point lists, interview records, handling decision documents, and rectification reports. Document fields cover suspicious point identification, violation determination basis, rectification implementation status, and more. Individual document lengths vary widely. They cover full-process audit information from initial clues to final handling.

Constraints on multi-turn dialogue and prompt engineering

Monthly updated data sources require regular full or incremental index synchronization. This prevents conversations from using outdated audit rules and settlement data. Multiple document types require adapted text splitting logic. This ensures complete context for different documents, such as suspicious point lists and handling decision documents. The audit process requires multi-turn questioning of suspicious point details. Prompts must guide association with suspicious point lists and interview records from historical conversations. This avoids repeated calls to the same data sources. The party building learning Q&A scenario requires prompts to incorporate party building work specifications. Responses must balance business compliance and political standards.

Configuration Settings

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

Configuration ItemRecommended ValueRationale
Chunk Length800–1200 charactersAdapts to the typical paragraph length of documents such as audit notices and handling decision documents, avoiding splitting breaks in single chunks
Overlap Length100–200 charactersRetains overlapping context between adjacent chunks, ensuring complete connection of associated suspicious point list content during multi-turn conversations
Single Search LimitTop 6 entriesMatches the number of suspicious point entries that need to be associated in a single round of audit conversation, avoiding redundant information interfering with core judgments
Maximum Context4000 tokenAccommodates historical information accumulated during multi-turn conversations, including audit suspicious points, interview records and party building specifications, meeting the conversation turn requirements of typical audit scenarios
Question OptimizationEnabledDecomposes vague questions that combine audit and party building content entered by users, guiding clear query directions
Source Document AssociationEnabledBinds metadata of audit documents and party building specification documents, ensuring that conversation responses can be traced back to original materials

Three Common Configuration Mistakes

  • Refreshing the page shows "No available index model detected". This occurs if monthly audit data source synchronization configuration is incomplete, or the data source bound to the index has not been initialized.
  • The conversation returns a 404 status code (no body). This occurs if the chatId parameter is not correctly bound to the current conversation session, or interface call permission configuration is missing.
  • Unable to cancel the download validity period of conversation files. This occurs if the automatic expiration setting is not disabled in the file storage configuration, or storage permissions are not configured separately for audit documents.

How to Verify Successful Configuration

  • Initiate a multi-turn audit-related conversation. Check if the conversation interface retains historical messages context, and confirm cross-turn suspicious point association works.
  • Enter a vague question combining audit and party building content. Confirm the system triggers question optimization and generates clear query instructions.
  • Call the conversation interface. Check if returned results include source document association identifiers, and verify the variables parameter correctly passes audit data source filter conditions.
  • View the data source synchronization log. Confirm monthly updated audit data and party building specification documents have completed index construction, with no synchronization failure records.

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.