What Data for This Category Looks Like
This category typically includes documents such as joint handling item lists, one-time notice sheets, joint handling application forms, material circulation sheets, parallel approval opinions, and completion receipts. Data sources include the national government service platform "One Thing" special zone, local integrated government service platforms, electronic certificate databases, and various departmental approval systems. The update frequency is daily. Document fields include cross-department item association identifiers, material details, processing status, department authority division, and others. There is no unified fixed format, and field structures vary across different joint handling items.
What Constraints Do These Characteristics Impose on the Vector Models and Indexes Link?
Multi-source heterogeneous data sources require indexes to support unified format conversion and field alignment for cross-platform data. The daily update frequency requires adaptation to scheduled incremental index update mechanisms to avoid performance loss from full indexes. Diverse document structures require chunking strategies to retain cross-departmental associated context information, preventing logical breaks during item disassembly. Cross-departmental material and approval associations require precision adaptation of similarity matching to avoid material mismatches or incorrect item associations that disrupt joint handling workflows.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Joint handling documents contain cross-departmental associated content, retain sufficient context while avoiding chunk redundancy |
| Overlap Length | 200–300 characters | Retain association information between chunks, prevent context breaks for cross-departmental items |
| Similarity Threshold | 0.75–0.85 | Distinguish similar joint handling items and accurately match material requirements, adapt to the rigor of government service scenarios |
| Single Search Limit | Top 10 entries | Joint handling items involve multiple departments, return an appropriate number of results for window staff reference |
maxToken | 8000 token | Joint handling documents have longer context lengths, adapt to the input limits of large models |
defaultToken | 1500 token | Meet the content length requirement for generating a single joint handling material |
Three Common Misconfigurations
- Phenomenon: FastGPT returns access denied when calling a vector model accessed via Ollama, but curl tests can normally obtain vector results. Cause: Ollama's cross-origin request configuration is not enabled, or FastGPT's vector model access address is not configured with intranet access permissions.
- Phenomenon: Unable to directly manage vector database create, read, update, delete operations via MongoDB, only able to operate via FastGPT's built-in interface. Cause: The external data source synchronization permission for the vector database is not enabled, or the corresponding role is not configured with vector database operation permissions.
- Phenomenon: Duplicate material list entries still exist after knowledge base index merging. Cause: The field matching deduplication switch during index merging is not enabled, or the cross-document association identifier verification rule is not set.
How to Confirm Proper Configuration
- View the vector model configuration page of FastGPT v4.17.0, confirm that the added models match the actually used vector models.
- Execute an incremental index update task, check that the number of updates shown in the system logs matches the number of newly added joint handling documents on the day.
- Manually merge the indexes of two similar joint handling items, check that there are no duplicate material detail entries in the merged result.
- Call the vector retrieval interface, confirm that the number of returned results meets the configuration requirements of the single search limit.
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.