What Data Looks Like for This Category
Typical entities include petition bureaus, department petition offices, subdistricts, townships, and offices of responsible units. Daily documents include petition registration forms, acceptance notices, transfer and assignment notices, handling opinions, review and recheck 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. Update frequency is daily. Document fields include request content, processing progress, responsible unit, policy basis, and others. Fixed structural differences exist across different document types.
Constraints on Vector Models and Indexing
Daily updated data sources require indexes to support incremental synchronization, to avoid resource consumption from full reindexing. Structural differences across multiple document types require chunking strategies adapted to varying content lengths, to prevent truncation of critical statutory processing flow descriptions. Multi-source data requires unified field mapping to ensure semantic consistency of embedded vectors. Petition handling results directly relate to the effectiveness of resolving public requests. Index recall accuracy must cover core fields such as policy basis and responsible unit, to avoid duplicate petitions or petitions submitted to higher-level authorities than intended.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the single-paragraph content length of petition-related documents, avoid truncating critical processing flow descriptions |
| Overlap Length | 100–200 characters | Retain cross-chunk policy basis and responsible unit information, prevent context from being split by chunking |
defaultToken | 4096 | Adapt to the total field length of most petition documents, meet basic retrieval needs |
maxToken | 8192 | Cover the complete semantics of longer documents such as review and recheck applications and resolution plans |
| Embedding Model Selection | Open-source embedding models (such as bge-large-zh-v1.5) | Meet the semantic retrieval needs of petition data, and do not require additional fees |
| Single Search Limit | Top 8 entries | Balance retrieval recall rate and system response speed |
| Maximum Context | 16000 characters | Accommodate complete processing flow and policy explanation content |
Three Common Misconfigurations
- Symptom: Multiple duplicate index groups are displayed in the index management page, and data volume automatically increases over time. Cause: No incremental index update strategy is configured, and default full synchronization leads to repeated generation of index entries.
- Symptom: The service does not respond when calling a specified embedding model, and service restart after commenting out the model configuration does not restore functionality. Cause: Residual embedding task queues are not cleared, and service restart does not clear in-memory cached model connection information.
- Symptom: Retrieval results are empty after creating an index, and no corresponding knowledge base content can be associated. Cause: The associated language model instance is not bound on the vector model configuration page, leading to a broken retrieval link.
How to Confirm Proper Configuration
- The FastGPT admin backend is accessed, the index management page is entered, and confirmation is made that the daily automatic update task status is running and has no failed logs.
- A single petition handling opinion document is imported, a retrieval test is performed, and confirmation is made that the returned chunked content completely retains core fields such as policy basis and responsible unit.
- The embedding interface is called for testing, and confirmation is made that the returned vector dimension matches the configured model parameters.
- A simulated petition data entry is added, a 1-hour wait is completed, the index list is checked, and confirmation is made that the data has completed synchronization.
The values given 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.