What the data for this category looks like
Mining and mineral processing party building learning data mainly comes from internal enterprise party building archive systems, party building guidance documents from superior state-owned assets supervision departments, and original records of three meetings and one lesson and theme party day activities from each workshop branch. The update rhythm is monthly updates of daily activity records for each branch, and quarterly updates of the latest requirements from superior party building deployments. Most documents are long texts with chapter numbers, with structures including title, publishing entity, publishing date, affiliated workshop/branch, and core content modules. Only character count and publishing date are used as identification fields, with no special custom units.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The structure of mining and mineral processing party building data, divided by workshop and branch, requires multi-turn dialogue to bind the context of the corresponding branch in messages to avoid information confusion across branches. The monthly/quarterly update feature of the data requires prompts to specify retrieval of updated documents from the last 3 months to ensure content timeliness. The chapter structure of long documents requires multi-turn dialogue to retain chapter associations when splitting fragments, to avoid taking content out of context. Scene-specific party building content includes modules such as on-site pioneer posts and safety combined with party building. Prompts must add scene restrictions to ensure responses align with party building requirements for mineral processing operations.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Max context length | 8000–12000 token | Adapts to chapter-associated content of long mining and mineral processing party building documents, retains branch and time context for multi-turn dialogue |
| Question optimization switch | Enabled | Optimizes user question wording for party building professional terms in mineral processing scenarios, to match document fields in the knowledge base |
| Single recall limit | Top 6 entries | Matches the chunk count of branch party building documents, avoids redundant information interfering with multi-turn dialogue |
| Session binding identifier | chatId | Ensures multi-turn interactions in the same session retain exclusive context, avoids information confusion across sessions |
| Prompt template | Add the restriction "in conjunction with mining and mineral processing operation scenarios" | Aligns with party building content for this category, avoids generic statements |
| Context variable | Set variables to the current branch name | Accurately retrieves party building data for the corresponding branch, improves response relevance |
Three Common Misconfigurations
- Symptom: No output after the workflow reaches the AI dialogue step, with a status code showing context overrun. Cause: No reasonable max context length set, causing the
messagesparameter for multi-turn dialogue to exceed system limits. - Symptom: Returned party building content does not combine with mineral processing operation scenarios, with generic general party building statements. Cause: No scene restriction added to the prompt, and no association with exclusive data fields for this category.
- Symptom: Previous dialogue context cannot be restored after session restart. Cause: No session context bound via
chatId, causing context loss for multi-turn dialogue.
How to Verify Correct Configuration
- Initiate multi-turn questions involving party building content from mineral processing workshops, check if the
messagesparameter retains previous session context. - Test questions containing party building professional terms for mineral processing scenarios, confirm that optimized questions match corresponding exclusive documents.
- Check that sessions with different
chatIdvalues each retain independent context, with no information confusion across sessions. - Trigger the full workflow process, confirm that all steps from question optimization to knowledge base search to AI dialogue execute completely, with no mid-process interruptions.
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.