What the data for this category looks like
Core data for this category comes from the enterprise registration full-process electronic system, the national enterprise credit information public disclosure system, the electronic business license system, and the residence information database. The update frequency is daily. Daily processed documents include establishment registration applications, articles of association, shareholder resolutions, residence certificates, business licenses, food business license applications, and more. These include both structured subject information fields and unstructured handwritten or scanned application materials. Policy and regulatory basis data mainly consists of publicly available market supervision normative documents, covering registration procedures, licensing conditions, and other related content.
What constraints do these characteristics impose on the vector model and indexing stage
Structured data exported from government affairs systems and unstructured application materials have large format differences, requiring indexes to support vector conversion for mixed formats. Daily updated incremental data requires indexes to have fast incremental synchronization capabilities to avoid performance losses caused by full reconstruction. Policy basis texts contain a large number of professional terms and fixed clause structures, and text splitting must avoid breaking complete policy logic. Some documents contain sensitive subject information, and data desensitization rules must be compatible with index configurations during vector processing.
How to configure the settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the standard lengths of daily application materials and policy clauses, preventing key terms from being truncated |
| Overlap Length | 100–200 characters | Preserves contextual connections for cross-chunk policy clauses, improving retrieval accuracy |
| maxToken | 4096 | Adapts to the input limit of most open-source vector models, meeting the full embedding requirements of policy texts |
| defaultToken | 2048 | Adapts to the conventional contextual length requirements of question-and-answer scenarios, balancing response speed and information completeness |
| Similarity Threshold | 0.75–0.85 | Calibrated through actual testing, distinguishes precise matches and fuzzy associations of policy clauses, reducing invalid retrievals |
| Single Search Limit | Top 10 entries | Policy basis content is usually concentrated in a small number of clauses, avoiding redundant information interfering with question-and-answer results |
Three common mistakes
- The symptom is that index retrieval results deviate significantly from actual policy basis. The cause is failing to adjust chunk parameters based on the field characteristics of government affairs documents, resulting in complete policy clauses across pages being split.
- The symptom is that the interface prompts that the vector model format is incompatible. The cause is mixing multimodal vector models with pure text question-and-answer scenarios without switching to an adapted model type.
- The symptom is that incremental indexes are not updated on time. The cause is failing to enable the incremental synchronization switch in the index configuration of FastGPT v4.17.0, resulting in daily newly added data not being automatically included in the index.
How to confirm the configuration is correct
- Upload a standard establishment registration application document, trigger vector index construction, and check the backend chunk logs to confirm that parameters match the configured values.
- Enter "residence certificate verification requirements" in the question-and-answer test interface, check whether the number of retrieved policy clauses and similarity scores meet the set threshold.
- Check that the model type added in the vector model management list matches the model type configured currently, with no format conflicts.
- Wait 24 hours, check the incremental index update records to confirm that daily newly added data is synchronized normally.
Note: The configuration values listed above are common starting points. They should be evaluated 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.