What does the data for this category look like?
This category serves party building learning Q&A scenarios for entities such as ecological and environmental law enforcement detachments and monitoring stations. Data sources include online monitoring platforms, automatic pollutant emission monitoring data, ecological and environmental law enforcement systems, and third-party test reports. The update frequency is daily. Daily documents cover on-site inspection records, sampling records, monitoring reports, order for correction decisions, and administrative penalty decisions. Documents include fields such as law enforcement time, location, monitoring indicators, values, and disposal requirements. Units include concentration, flow rate, duration, and other categories. The length of individual documents ranges from hundreds to thousands of characters.
What constraints do these characteristics impose on the multi-turn dialogue and prompt words link?
Party building learning Q&A must be carried out in combination with law enforcement business scenarios. High-frequency data updated daily requires multi-turn dialogue context to synchronize the latest monitoring and law enforcement records in a timely manner. This prevents the use of outdated data that reduces learning accuracy. Differences in fields across multiple structured documents require prompt words to clearly specify the retrieval scope of corresponding documents. This prevents learning deviations caused by confusion of cross-document fields. Non-standardized expressions in on-site law enforcement documents require gradual clarification of key terms in multi-turn dialogue. This ensures accurate retrieval matching and helps law enforcement personnel master regulations. A single conversation must associate multiple law enforcement and monitoring data sets. Prompt words must limit the effective data volume of the context window. This avoids redundant information interfering with the learning content output by the model.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Single search limit | Top 5 entries | Party building learning Q&A needs to associate multiple types of law enforcement and monitoring documents. The top 5 entries can cover the core law enforcement evidence chain and meet learning needs |
| Maximum context | 8000–12000 token | Adapt to the interface settings of FastGPT v4.17.0, cover the context length of multiple law enforcement documents and monitoring reports, and avoid information truncation |
| Question optimization | Enabled | For non-standardized expressions in on-site records and law enforcement standard expressions related to party building, optimization can improve retrieval matching accuracy |
| Reranking | Enabled | Sort retrieval results by relevance, ensure that the priority of law enforcement evidence matches the Q&A needs of party building learning |
chatId | Bind session ID | Ensure context association for multi-turn dialogue, avoid cross-session data confusion, and maintain consistency of learning sessions |
variables | Preset law enforcement scenario variables | Limit the retrieval scope to exclusive documents of the current law enforcement detachment and law enforcement standard materials related to party building learning, narrowing the retrieval range |
Three Common Misconfigurations
- Image URLs from documents cannot be output in party building learning Q&A. Cause: The prompt word does not explicitly require extracting URL fields in documents, or the context does not load complete metadata of the corresponding document.
- Retrieval results in multi-turn party building learning conversations mix documents from other law enforcement detachments. Cause:
chatIdis not bound, or session-specific variables are not set, leading to cross-session data confusion. - Party building learning Q&A conversations time out with no response. Cause: The single search limit is set too high, and multiple large law enforcement documents are retrieved at the same time, exceeding the system processing threshold.
How to Verify Correct Configuration
- Initiate a conversation containing the keywords "law enforcement regulations" and "party building leadership", check whether the returned results include field information from corresponding law enforcement documents.
- View the session log, confirm that
chatIdis bound to the current session, and no cross-session data is mixed in. - Test a conversation involving law enforcement documents with image URLs, confirm that the returned results include the correct URL links.
- Adjust the single search limit, verify that the number of retrieval results meets the needs of party building learning Q&A.
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.