What this category of data looks like
Data sources include the full-process electronic enterprise registration system, the National Enterprise Credit Information Publicity System, the Electronic Business License System, and the Residence Information Database. Update frequency is daily. Daily documents include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, food business license applications, and similar materials. Most document structures include subject identification fields, licensing item fields, and material verification fields. All fields follow standard formats for the government market supervision sector, with no custom special field units.
What constraints do these characteristics impose on model access and configuration
Data sources are scattered and updated daily. This requires configuring incremental synchronization logic to ensure knowledge base data aligns in real time with government systems, and prevent outdated or inconsistent content. Daily documents are mostly form and certification materials, with fixed field structures. During retrieval, priority must be given to matching precise fields such as subject identification and licensing items, to reduce interference from irrelevant content on accurate retrieval. Q&A must strictly follow policies and registration specifications. Model outputs must not deviate from knowledge base content, and must adapt to the rigor requirements of government scenarios, avoiding vague or non-process-compliant statements.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–16000 token | Adapts to the long-text retrieval needs of government documents, covering contextually related content from multiple registration materials and policy provisions |
maxTokens | 2000–3000 token | Meets the full output length requirements for policy basis Q&A, avoiding truncation of key process descriptions and compliance requirements |
quoteMaxToken | 1000–1500 token | Limits the length of single segments referenced from the knowledge base, ensuring matching accuracy between retrieval results and Q&A |
temperature | 0.1–0.3 | Adapts to the rigor requirements of government scenarios, reduces the proportion of free model generation, and prioritizes returning standard content from the knowledge base |
AIPROXY_API_ENDPOINT | Fill in according to the actual address of the government dedicated line | Adapts to access restrictions in government network environments, ensuring compliant and controllable model call links |
AIPROXY_API_TOKEN | Fill in according to the exclusive key assigned by the team | Ensures permission security for model calls, avoiding unauthorized access and data leakage risks |
Three common configuration errors
- Phenomenon: The retrieval backend shows matches for registration materials and policy provisions, but the model returns no relevant basis found. Cause: The
maxContextparameter is set too small, failing to load complete contextually related content, so the model cannot recognize matching results. - Phenomenon: The team management backend cannot query model call records for a specific member. Cause: Full collection configuration for call logs is not enabled, or permission configurations do not cover the target member's operating scope.
- Phenomenon: Model output exceeds expected length and is truncated. Cause: The
maxTokensparameter setting does not match the output requirements of the Q&A scenario, or the total token count of knowledge base references exceeds system limits.
How to confirm configurations are correctly set
- Run a retrieval test for a single registration material, check whether the retrieval result matches the document content in the knowledge base, and adjust matching rules until expectations are met.
- View model call logs, confirm that
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENconfigurations have no format errors, and call status codes are within normal ranges. - Trigger a complete policy Q&A test, verify that output content does not deviate from policy and registration specifications in the knowledge base, and that length meets preset requirements.
- View knowledge base synchronization records, confirm that daily incremental synchronization tasks are running normally, and that data update times align with the update frequency of government systems.
The values provided here are common starting points, and should be measured against the user'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.