What this category of data includes
The primary data sources for this category are petition bureaus, department petition offices, subdistrict and township offices, and responsible unit offices. Daily documents include standardized forms such as petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and re-examination applications, and resolution plans. Data comes from the National Petition Information System, local petition systems, the 12345 citizen hotline platform, grassroots governance platforms, and historical petition archives. Updates occur daily. Data fields include appeal content, handling progress, review results, and other fields. The overall structure is fixed, with most documents being standardized business forms.
Constraints on knowledge base retrieval and recall
Diverse data sources and daily updates require an incremental synchronization mechanism. This ensures data timeliness and prevents retrieval of outdated handling opinions. Standardized documents have fixed structures. Chunking rules must be adjusted to retain key document paragraphs. This prevents critical information from being truncated. Appeals are tightly linked to handling processes. Retrieval must accurately match legal procedures and corresponding links. It must also avoid low-match content that could lead to repeated or cross-level petitions. Cross-system data must be uniformly associated with a dedicated business dataset. This prevents irrelevant documents from interfering with retrieval results.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Similarity Threshold | 0.75–0.85 | Petition matters involve legal handling procedures. Matching accuracy between retrieval results and appeals must be ensured to avoid interference from low-match content for handling guidance |
| Single Search Limit | Top 6 entries | Petition handling processes require association with multi-link documents. Retrieving an appropriate number of results balances information completeness and page loading efficiency |
| Rerank Switch | Enabled | Semantic similarity of standardized documents is easily affected by formatting. Reranking optimizes result sorting and improves the accuracy of handling process guidance |
| Query Optimization Switch | Enabled | Petition appeal expressions vary. Query optimization expands the range of retrieval terms to cover handling processes with different expressions |
| Dataset Binding ID | Bind to the petition business-specific dataset | Isolate business data from data from other scenarios, avoid retrieval of irrelevant documents, and ensure retrieval targeting |
| Custom Chunk Length | 800–1200 characters | Petition business documents are mostly standardized forms and notices. This length retains key information of complete paragraphs |
Three Common Misconfigurations
- Phenomenon: After calling the knowledge base retrieval interface, clicking the returned document reading link triggers an error, prompting that only .txt format is supported. Cause: Petition business documents have not been uniformly converted to the platform's supported preview formats, or the preview permission for the corresponding document type has not been enabled in the dataset configuration.
- Phenomenon: Outdated handling opinions appear in retrieval results, leading to repeated appeal submissions from petitioners. Cause: Daily incremental synchronization rules have not been configured, and closed document data in historical archives has not been updated in a timely manner.
- Phenomenon: Key appeal field information from petition registration forms is missing from retrieval results. Cause: Custom chunking rules failed to retain complete document paragraphs, leading to truncation of critical content.
How to Verify Proper Configuration
- Check the system synchronization log to confirm that daily incremental synchronization tasks are completed normally with no failed records.
- Input typical petition appeals to initiate retrieval, and verify that returned results include business-specific document types such as petition registration forms and acceptance notices.
- Test appeals with different expressions, and confirm that the query optimization switch enables coverage of more associated business documents when activated.
- Check the dataset configuration to confirm that only the petition business-specific dataset ID is bound, with no cross-scenario datasets included.
The values provided 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.