What data for this category looks like
Typical data subjects for this category are government service centers, administrative examination and approval bureaus, and industry regulatory department examination and approval offices. Daily documents include service guidelines, application forms, commitment letters, acceptance notices, correction notification letters, administrative licensing decision letters, and license certificates. Data sources include the national integrated government service platform item database, administrative licensing item list, departmental business examination and approval systems, and electronic certificate database. Update frequency is daily. Service guidelines contain structured fields such as item basis and handling conditions. Electronic certificates carry metadata such as unified number and validity period. All documents are directly bound to legal licensing items.
Constraints imposed by these characteristics on the citation sources and traceability link
Daily updated data requires synchronous updates to citation traceability information. This avoids referencing outdated item lists or examination and approval standards. Structural differences across multiple document types require the traceability link to adapt to metadata extraction rules for different documents. For example, extract numbers from electronic certificates and item codes from service guidelines. The binding of all documents to legal licensing items requires precise matching of corresponding items during traceability. Cross-item reference of irrelevant content is not allowed. Error consequences in government scenarios require the traceability link to fully retain original data source system and upload time information. This ensures traceable verification.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Administrative licensing-related documents have moderate single-item content. This prevents content truncation caused by exceeding the model context window |
responseData | Return source metadata of matching items | Link to original sources such as the national integrated government service platform item database and electronic certificate database to meet government traceability requirements |
detail | Display context of citation fragments | Examination and approval scenarios require verifying correspondence between application materials and handling conditions. Context information assists in judging matching accuracy |
| Similarity Threshold | 0.6–0.7 | Matching requirements for administrative licensing items are strict. This range filters irrelevant content while ensuring core basis is retrieved |
| Single Search Limit | Top 3 entries | Avoid excessive redundant information interfering with examination and approval judgments. Focus on the most relevant item basis and handling materials |
Three common configuration mistakes
- Insufficient matching in search results, failing to locate required service guidelines or examination and approval basis. The cause is a similarity threshold set too low, which retrieves large volumes of irrelevant content.
- Abnormal truncation of citation content, failing to fully display key clauses of administrative licensing decision letters. The cause is
quoteMaxTokenset beyond the maximum context length supported by the model. - Uploaded examination and approval documents showing training abnormalities, unable to be retrieved or cited normally. The cause is document issues such as encryption or format damage. Re-uploading does not automatically deduplicate. Old abnormal entries must be cleaned first.
How to confirm the configuration is properly set
- Initiate a party building learning Q&A that includes an administrative licensing item name. Check if returned results attach the source system, file name, and upload time of matching documents.
- Adjust the
quoteMaxTokenparameter to the recommended range. Verify that returned citation fragment lengths meet configuration requirements without abnormal truncation. - Upload a test service guideline document. Check if the training status shows normal with no abnormal error prompts.
- In the FastGPT v4.17.0 interface, enable the traceability display switch. Confirm that original source metadata for citation content is visible in Q&A results.
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.