What the data for this category looks like
Coal transportation and sales party building related data comes from the enterprise's internal party building archive library, party building learning materials issued by the superior party committee, and industry party building guidance documents. The update rhythm adjusts according to superior party building work deployment. Core policy document updates have no fixed cycle, but do not exceed once per quarter. Most documents are structured policy entries and compiled learning Q&As. Fields include document title, publishing entity, effective date, and main body content. No additional custom business fields are included.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Party building policy documents are mostly structured entries. Multi-turn dialogue must retain policy keywords within the context and associate them with coal transportation and sales business scenarios. This prevents responses from being disconnected from real work. Updates have no fixed cycle. The prompt must be configured with logic to regularly synchronize the latest documents. This ensures the content referenced in Q&A is up to date. The fields include effective date. The prompt must add an effective date verification rule to avoid returning expired policy content. Individual documents are lengthy. The context window for multi-turn dialogue must be limited to a reasonable length. This prevents exceeding the LLM's processing limits.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind to the current dialogue session | Ensure context association for multi-turn dialogue, avoid mixing content from different sessions |
messages | Retain the last 10 rounds of dialogue content | Cover multi-round follow-up question logic for coal transportation and sales party building Q&A, retain context keywords |
variables | Pass "coal transportation and sales" and "party building learning" as fixed parameters | Limit the scope of response scenarios, improve knowledge base recall accuracy |
| Chunk length | 800–1200 characters | Match the length of single-segment policy content in coal transportation and sales party building documents, avoid splitting that disrupts policy logic |
| Single search limit | Top 6 entries | Cover multiple policy documents related to coal transportation and sales party building, avoid missing core reference materials |
Three common misconfigurations
- Phenomenon: AI dialogue responses return content not associated with the knowledge base, only general party building content; Cause: No mandatory current knowledge base reference rule was added to the prompt, or no scene restriction parameters were passed via the
variablesparameter. - Phenomenon: Subsequent questions in multi-turn dialogue cannot be associated with previously mentioned coal transportation and sales party building policies; Cause: The number of retained rounds configured in the
messagesparameter is insufficient, and key context keywords were not retained. - Phenomenon: Session timeout errors occur during dialogue; Cause: The single search limit is set too high, causing knowledge base recall to take longer than the session processing duration allowed by the system.
How to confirm the configuration is correct
- Initiate a first query, enter "Coal transportation and sales party building's responsibility for supply guarantee", check if the response is associated with policy document content within the knowledge base.
- Initiate multi-round follow-up questions: first enter "Party building requirements for coal supply guarantee", then enter "Corresponding assessment standards", check if the response is associated with the policy content from the previous round.
- Check if the
variablesparameter includes the fixed fields "coal transportation and sales" and "party building learning", to ensure the scene restriction of the prompt takes effect. - Simulate multiple consecutive queries, check if the session normally retains context, with no content breaks or timeout errors.
The values provided here are common starting points, and should be evaluated 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.