What this category’s data looks like
This category sources its data from the engineering construction project approval management system, construction drawing review system, enterprise qualification database, and credit platform. Data updates daily. Processed documents include construction permit applications, construction drawing review qualification certificates, quality and safety supervision procedures, completion record forms, and more. Data fields cover project numbers, participating unit qualifications, personnel information, approval node status, and other items. All fields use the standard format of official systems, with no custom units.
Constraints on Forms and Interactions
Multiple data sources require forms to support automatic pulling of cross-data source fields, to avoid manual entry of duplicate information. Daily updated data sources require form interactions to include real-time data verification, to ensure recalled participating unit qualification and approval node information stays up to date. The document structure covering the full approval process requires forms to split interaction modules by nodes such as project initiation, land use planning, construction permit, and others, to avoid too many fields on a single page. Errors directly impact project commencement and filing, so forms must add required field verification and pre-prompts to prevent missing key material fields.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Single search limit | Top 8-12 entries | This category needs to recall three types of data: approval materials, qualification information, and party building policies. The top 8-12 entries cover core information while controlling token consumption |
| Question optimization | Enabled | There are differences between engineering approval terminology and party building learning expressions. Enabling this feature unifies question logic and reduces Q&A ambiguity |
formInput | Bind project unique identifier field | This field is a standard identifier shared by all approval systems, which can quickly associate corresponding materials and business data |
userSelect | Preset approval node options | Reduces manual input errors and matches the standardized node classification of engineering approval processes |
| Maximum context | 7000-9000 tokens | A single approval document can reach thousands of characters. This range covers associated data for the entire approval process |
| Re-ranking | Enabled | After sorting by relevance, the system displays approval policy content combined with party building learning first, improving Q&A accuracy |
Three Common Misconfigurations
- Symptom: Setting the single search limit to 2000 results in a single-round Q&A token consumption exceeding 3000, triggering a context overflow error. Cause: The limit was not adjusted based on the character volume of single-piece data in this category. Single recalled data for engineering approval can reach hundreds of characters, and an overly high limit quickly accumulates tokens.
- Symptom: The voice input function returns a connection failure error. Cause: The startup parameters of the local inference model were not configured correctly, or the interface address of the corresponding speech recognition model was not bound on the FastGPT platform.
- Symptom: The model selection list of the text content extraction module only displays GPT series models. Cause: The GLM model accessed by the text extraction module was not separately configured in FastGPT's model management, or the text extraction permission of the corresponding model was not enabled.
How to Verify Configuration Completion
- Submit a test question that combines approval nodes and party building learning, and check if the Q&A results include corresponding approval policies and material information.
- View the single-round Q&A token consumption statistics, and confirm the value falls within the configured maximum context range.
- Manually modify the project unique identifier field bound to the form, and check if the Q&A results synchronously update to the business data of the corresponding project.
- Select the preset approval node options, and confirm if the Q&A content matches the approval requirements and party building learning content of the corresponding node.
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.