What this category of data looks like
Relevant data for municipal environmental sanitation and urban management law enforcement cases typically comes from urban management law enforcement platforms, urban operation grid platforms, video surveillance systems, and mass complaint work orders. Daily generated documents include inspection records, case filing approval forms, on-site photos, order correction notices, penalty decisions, and case closure reports. Data updates occur daily, covering newly added inspection, complaint, and disposal records from the current day. Data subjects include urban management law enforcement bureaus, street comprehensive law enforcement teams, sanitation centers, and grid workers. Each document corresponds to execution information for different business links.
Constraints for Knowledge Base Retrieval and Recall
Multi-source mixed data sources require retrieval systems to adapt to business documents in different formats. This avoids missed recalls caused by differences in data structures. Daily update frequency requires knowledge bases to support incremental synchronization mechanisms. This ensures retrieval results include the latest case progress and complaint information. Cases cover core law enforcement links such as on-site evidence collection and responsibility determination. Retrieval results must accurately match the current inquiry scenario, otherwise law enforcement judgments may be compromised. Cases involve law enforcement compliance, so retrieval accuracy is directly linked to law enforcement dispute risks. The proportion of irrelevant content in recalls must be strictly controlled.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Similarity threshold | 0.72–0.80 | Matches the semantic similarity requirements for urban management case text, filters low-relevance historical cases |
| Single search limit | Top 8–12 entries | Controls the number of documents returned per retrieval, avoids context overload that disrupts subsequent law enforcement auxiliary processing |
| Search mode | Vector retrieval + keyword hybrid | Adapts to the mixed characteristics of both structured fields and unstructured text in cases, improving recall accuracy |
| Rerank toggle | Enabled | Performs secondary sorting on recall results, prioritizing law enforcement records most relevant to the inquiry question |
| Question optimization | Enabled | Performs semantic expansion on user inquiries to match more relevant inspection, complaint, or disposal documents |
| Dedicated knowledge base collection | Bound to the urban management law enforcement dedicated collection | Isolates knowledge base data across different business lines, prevents mixing in case content from other categories |
Three Common Misconfigurations
- Phenomenon: The retrieval node does not trigger subsequent online verification steps, and directly returns AI-generated content. Cause: The trigger association logic between the retrieval node and the HTTP request node is not correctly configured in the workflow, leading to abnormal process jumps.
- Phenomenon: Retrieval results mix in market supervision or traffic law enforcement case content. Cause: The dedicated urban management law enforcement knowledge base collection is not bound, resulting in simultaneous recall of knowledge base data from cross-business lines.
- Phenomenon: Newly added daily complaint work orders do not appear in retrieval results. Cause: The knowledge base update frequency is set to weekly synchronization, which does not match the daily update rhythm of business data.
How to Verify Correct Configuration
- Submit test inquiries related to urban management law enforcement scenarios, check whether retrieval results include documents of the corresponding category such as inspection records and complaint work orders.
- View the knowledge base synchronization logs to confirm whether daily incremental data is updated at the set frequency.
- Verify the sorting logic of retrieval results, confirm whether the rerank function is enabled and prioritizes high-match case records.
- Check whether the values of configuration items match business requirements, such as whether the single search limit quantity meets context length requirements.
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.