What This Category of Data Looks Like
Data for this category comes from the full-process electronic enterprise registration system, the National Enterprise Credit Information Publicity System, the electronic business license system, and the residence information database, with a daily update frequency. Commonly referenced documents include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, food business license applications, and more. Data fields include entity name, residence address, shareholder information, license type, application status, and more. The length of individual documents varies significantly, with a mixed format of structured and unstructured content.
What Constraints These Characteristics Impose on the Multi-turn Dialogue and Prompt Engineering Link
The daily data update requirement means the dialogue system must recall the latest policies and registration basis in real time, and avoid using expired information. The mixed document format requires multi-turn dialogue to support mixed parsing of structured fields and unstructured text, and adjust retrieval logic for different document types. The requirement for field accuracy means the dialogue must supplement missing entity information through multi-turn confirmation, and strictly match the correspondence between policy clauses and application materials, to avoid registration rejection due to field mismatches. The large variation in individual document length means context parameters must adapt to recalled content of different lengths, to prevent exceeding the model's processing limit.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Single Search Limit | Top 10 entries | This category has short individual policy and document content. The top 10 entries can cover complete registration and licensing basis, avoiding redundant information interfering with the large model's judgment |
| Maximum Context Length | 8000-10000 characters | Adapts to the cumulative policy clauses and application material content in multi-turn dialogue of this category, ensuring complete context |
| Quoted Content Retention Limit | 1500-2000 characters | Matches the conventional window for large models to process policy texts, avoiding content overflow leading to lost citations |
variables | Bind entity name and residence address fields | Accurately match entity information in policy basis, improving retrieval relevance |
chatId | Bind dialogue session ID | Retain context information for multi-turn dialogue, ensuring subsequent questions can extend the retrieval scope of previous dialogue |
messages | Retain the last 10 rounds of dialogue content | Ensure context coherence for multi-turn dialogue, avoiding loss of previously confirmed entity information |
Three Common Misconfigurations
- After adjusting the quoted content retention limit to 2000 characters, the large model's returned results do not include the recalled knowledge base paragraphs, only generating general responses. The cause is that the recalled knowledge base content was not correctly injected into the context queue of the
messagesparameter. - The dialogue interface cannot display images. The phenomenon is that images attached to documents such as residence certificates and business licenses fail to render in the dialogue interface. The cause is that image parsing and embedding configuration was not enabled, and only text content was extracted.
- Custom models show inconsistencies between the dialogue and workspace. The phenomenon is that when the same model is called by a simple application and the dialogue interface, the returned policy basis content differs. The cause is that the entity registration field parameters bound by
variableswere not unified, leading to inconsistent context variables called in different scenarios.
How to Verify Proper Configuration
- Initiate a registration consultation with a specific entity name and residence address, check whether the returned results include corresponding policy document fragments.
- View the
chatIdsession log, confirm that the context parameters of the multi-turn dialogue are correctly passed, with no context loss. - Adjust the quoted content retention limit, verify whether the length of the quoted content in the returned results changes with the configuration.
- Upload a test establishment registration application, check whether relevant policy basis content can be correctly recalled.
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.