What this category of data looks like
This category of data primarily comes from the national petition information system, local petition systems, the 12345 citizen hotline, grassroots governance platforms, and historical petition archives. The update frequency is daily. Daily documents include petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and re-examination applications, resolution plans, and more. Data fields cover the subject of the appeal, matter content, handling progress, responsible units, review results, and other items. No additional custom units are used. The data structure is built around the legal process for petition matter handling.
What constraints these characteristics impose on vector models and indexes
Multi-source data comes from different platforms with varying formats, so the indexing link must support unified parsing and chunking of multi-format documents. The daily update frequency requires indexing to support incremental synchronization, avoiding resource consumption caused by full reconstruction. Different document types have large length differences, ranging from short forms to long documents, so a flexible chunking strategy is needed to preserve semantic integrity. The data is built around the legal process for petition handling, so the index must retain the associated semantics of each handling node. This ensures that retrieval can link to materials from the corresponding stage.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the length range of petition-related documents from short forms to long documents, preserving the semantic integrity of handling processes |
| Overlap Length | 100–150 characters | Prevents semantic truncation of key handling nodes after chunking, ensuring continuity of cross-chunk retrieval |
| Similarity Threshold | 0.72–0.78 | Petition appeal expressions have similarities. This interval can distinguish duplicate petitions from similar appeals, reducing misjudgments |
| Single Search Limit | Top 8 entries | Petition ledger summary needs to cover major related matters. Too many results will increase summary redundancy, while too few may miss related appeals |
defaultToken | 8192 | Adapts to the long context requirements of petition report generation, ensuring that multi-segment content such as handling opinions and review results can be fully included |
maxToken | 16384 | Supports summarizing the complete content of multiple handling materials, meeting the information capacity requirements for ledger summary |
Three Common Misconfigurations
- The index in-progress status stays unchanged for a long time in the interface. Cause: No incremental index trigger rule is configured, and full index processing of multi-source historical petition archives takes too long.
- No relevant content appears in search results after custom index configuration. Cause: Chunking rules are not adjusted for the field structure of petition documents, leading to truncation of key appeal content during chunking.
- Index tasks time out after connecting to a local m3e model. Cause: No reasonable model call timeout parameter is set, and vector generation cannot be completed within the preset time when the petition data volume is large.
How to Verify Proper Configuration
- Upload a single petition handling opinion document, check the chunked content generated by the index, and confirm that the semantics of core handling nodes are not truncated.
- Retrieve historical petition records for the same appeal, and verify that the number of returned results meets the single search limit configuration requirement.
- Configure a daily incremental synchronization task, check the index update log the next day, and confirm that only newly added petition data from the current day is synchronized.
- Call the vector generation interface, test the call response of the local m3e model, and confirm that no timeout errors occur.
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.