What the Data for This Category Looks Like
Data for this category comes from the national integrated government service platform item database, administrative licensing item list, departmental business approval systems, and electronic certificate repository. Update frequency is daily. Daily documents include service guides, application forms, commitment letters, acceptance notices, correction notices, administrative licensing approval decisions, and license certificates. Content focuses on handling conditions, procedures, material requirements, and approval results for statutory licensing items. Most fields correspond to standardized government service fields such as item code, handling requirements, and legal basis.
Constraints on Vector Models and Indexes
Data sources cover official item databases and business systems. The daily update requirement means indexes must support incremental synchronization. Full reindexing must be avoided, as it takes too long and disrupts daily approval work. Statutory licensing items have clear boundaries. Vector matching must strictly correspond to item codes and handling conditions. This prevents cross-item confusion that leads to approval errors. Document types vary, from structured application forms to unstructured decision documents. The system must adapt to text chunking and vector generation for different formats. Electronic certificate repository data mostly consists of certificate files. The system must support unstructured text extraction. Matching results must also retain legal validity.
Configuration Settings
Configuration items under FastGPT v4.17.0 are listed below:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to content integrity of long texts such as service guides and approval decisions, avoid splitting key handling conditions |
| Overlap Length | 100–150 characters | Connect content of adjacent chunks, prevent breakage of cross-chunk procedure and material requirement information |
maxToken | 8000 token | Accommodate complete core document content such as service guides and correction notices, ensure replies can reference all legal basis |
| Similarity Threshold | 0.75–0.85 | Strictly match handling conditions and material requirements of statutory licensing items, reduce probability of irrelevant item recall |
| Single Search Limit | Top 10 items | Adapt to limited quantity range of administrative licensing items, avoid excessive results increasing manual verification costs |
defaultToken | 2048 token | Handle basic vector generation requirements for short documents such as single application forms and correction notices |
Three Common Configuration Mistakes
- Phenomenon: Incremental synchronization index logs show data omission. Some daily updated approval documents are not indexed. Cause: Daily incremental update trigger rule is not configured. Only full synchronization is performed, leading to insufficient synchronization efficiency that cannot cover daily updated approval documents and item changes.
- Phenomenon: Calling a private reranking model returns a 500 status code. No filtered search results are returned. Cause: Local deployment path and calling parameters of the reranking model are not configured. The index link cannot call reranking logic to filter results.
- Phenomenon: Search results include public service consultation content, and are not strictly limited to administrative licensing items. Cause: Similarity threshold is set too low. The statutory boundaries of administrative licensing items are not strictly matched, leading to accidental recall of public service content.
How to Confirm Proper Configuration
- Manually upload a latest service guide document to the knowledge base. Trigger the vector generation task, then check if the text in the chunk preview interface retains complete handling conditions and material list.
- Initiate a test query containing a specific licensing item name. Check if the number of recalled results matches the single search limit configuration.
- Check index synchronization logs. Confirm the daily incremental update task has been triggered normally, and no data omission errors exist.
- Adjust the similarity threshold to the interval boundary. Verify that the number of recalled results fluctuates reasonably with changes to the threshold.
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.