What this category of data looks like
The policy and regulatory basis Q&A data for power grid enterprises is primarily sourced from power industry policy documents released by the National Energy Administration and provincial energy regulatory agencies, as well as official internal operation, safety, bidding, power supply service and other system manuals issued by power grid enterprises. Data updates are adjusted according to national policy releases and enterprise system revision milestones. Most documents use a chapter-based structure, including fields such as document number, effective date, scope of application, clause details, and involve professional power terms including voltage level, power supply capacity, and operation cycle.
How These Characteristics Impact Multi-turn Dialogue and Prompt Engineering
The chapter-based long text structure of policy documents requires that multi-turn dialogue must retain policy document numbers and effective dates mentioned in historical conversations, to avoid confusion between new and old documents during cross-turn references. The presence of professional power terms requires that prompts must clearly constrain the model to recognize exclusive terms such as voltage level and power supply capacity, to avoid non-professional output. Since data updates do not follow a fixed cycle, prompts must include a clear requirement to prioritize referencing the latest effective version of policy documents. Multi-turn dialogue must also support users in supplementing or correcting specific clauses cited in policies.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Maximum Context Window | First 10 rounds of dialogue + the most recent 2000 characters of policy documents | Matches the long text characteristics of power grid policy documents, retains sufficient context to avoid losing key information such as policy document numbers and effective dates |
| Question Optimization | Enabled, calibrated based on actual testing | Professional power policy terms have high specificity; optimization improves understanding accuracy for complex professional questions |
| Single Recall Limit | Top 6 recall results | Matches the chapter structure of policy documents, avoids retrieving too many irrelevant clauses that interfere with user queries |
| Context Splicing Rule | Spliced by conversation turn order | Retains the order of policy citations mentioned in historical conversations, ensuring logical consistency across multi-turn Q&A |
variables Variable Configuration | Bound to effective date and document number fields of the policy document library | Used to automatically filter expired policies during multi-turn dialogue, ensuring compliant citations |
Three Common Misconfiguration Scenarios
- The symptom is that multi-turn dialogue only returns one-time streaming output, and does not retain the policy document number mentioned in historical conversations. The cause is that the context splicing rule for the
messagesparameter is not configured, resulting in lost turn-related information. - The symptom is that workflow nodes cannot obtain parameter content passed by the system. The cause is that system parameters are not mapped to the
variablesvariable pool, causing nodes to fail to read target data. - The symptom is that expired policy clauses are mixed in Q&A results. The cause is that no effective date verification logic is added to the prompt, and expired policy files are not filtered.
How to Verify Proper Configuration
- Initiate a multi-turn conversation that includes a specific policy document number, check if subsequent round replies correctly reference this number as the query basis
- Trigger a code execution node in the workflow, check if subsequent policy Q&A nodes can normally read the text content output by the code
- Adjust the single recall limit, verify that the number of returned policy clauses matches the preset value range
- Add an effective date verification rule to the prompt, initiate a query for an expired policy, confirm that no expired clauses are returned in the results
The values provided here 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.