What the Data for This Category Looks Like
Typical data for this category comes from daily documents of petition bureaus, sub-districts, towns, and responsible unit offices, including petition registration forms, acceptance notices, transfer and assignment letters, handling opinion documents, review and reexamination applications, resolution plans, and more. Data sources include the national petition information system, local petition systems, the 12345 citizen hotline, grassroots governance platforms, and historical petition archives. The update frequency is daily. Each individual document includes fixed fields such as request content, handling process nodes, responsible units, response opinions, and others. There are no extra fields beyond standardized multi-modal attachments.
What Constraints These Characteristics Impose on the Vector Models and Indexes Link
Data sources for this category span multiple government systems, with documents in heterogeneous formats. A unified vector index is required to adapt to text structures from different sources. Daily updated incremental data requires the index to support incremental synchronization, avoiding resource consumption caused by full reconstruction. Fixed handling process fields require vector recall to match the association between requests and process nodes, ensuring recalled content corresponds to the handling stage of the petition matter. Additionally, errors may lead to repeated petitions or handling corrections, so the accuracy of vector recall must meet the strict requirements of government handling work.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the length of single-section requests or handling opinions in petition documents, avoiding semantic fragmentation |
| Overlap Length | 100–150 characters | Retains process connection information across chunks, preventing handling nodes from being split |
| Similarity Threshold | 0.72–0.78, calibrated via actual testing | Adapts to semantic similarity judgment for petition requests, avoiding misjudgment of acceptance scope |
| Single Search Limit | Top 6 results | Matches the multi-node association needs of petition handling, without overloading the context |
maxToken | 8000 | Adapts to long context splicing of petition documents, complying with large model input limits |
| Reranking | Enabled | Optimizes ranking of highly relevant documents, improving recall accuracy of handling opinions |
Three Common Misconfigurations
- Interface prompts vector model configuration failure, returns status code 400. Cause: Failed to correctly associate the cloud vector model channel, or the passed model name does not match the platform's required identifier.
- The number of recall results after index generation is far lower than expected. Cause: Chunk length is set too large, causing key request fragments to be truncated and unable to be matched via vector search.
- The generated handling opinion document contains invalid content related to repeated petitions. Cause: Failed to filter invalid redundant data from historical archives, causing irrelevant petition records to be included in the index.
How to Confirm Proper Configuration
- Upload a single standard petition registration form to trigger vector index generation, check platform logs to confirm no error messages.
- Input petition request text, perform a vector recall operation, verify that returned results include relevant document fragments corresponding to the handling process.
- Test incremental indexing of new petition data, confirm that updated data can be recalled normally.
- Check vector model call logs, confirm that request parameters match the configured values.
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.