What this category's data looks like
This category's data is sourced from the national integrated government service platform item database, administrative licensing item lists, departmental business approval systems, and electronic certificate repositories. The update frequency is daily. Daily documents include service guides, application forms, commitment letters, acceptance notices, correction notification letters, administrative licensing approval decisions, and license certificates. Some content uses structured field formats, such as item codes, regulatory basis clauses, handling conditions, and application material lists. Other content is in unstructured text format, such as the full text of official approval documents.
Constraints on vector model and indexing workflows
The data characteristics of this category impose multiple constraints on the vector model and indexing workflow. First, data sources include structured and unstructured content from multiple systems. Mixed-format text parsing and chunking must be supported to avoid semantic breaks in structured fields. Second, the daily update requirement means indexes must support incremental synchronization to avoid the time costs of full reconstruction. Third, the regulatory basis for administrative licensing has strict statutory expression boundaries. Vector recall content must strictly correspond to the target licensing item, and irrelevant clauses from other items must not be matched. Finally, documents include statutory clauses and approval documents. Chunking must not split complete legal logic chains, ensuring the accuracy of recalled content.
Configuration settings
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | The single-paragraph length of administrative licensing service guides and regulatory basis clauses is moderate. This value range avoids semantic breaks caused by cross-clause chunking |
| Overlap Length | 100–150 characters | Ensures semantic continuity between adjacent chunks, so that the complete context of regulatory basis clauses is included in recall results |
| Similarity Threshold | 0.75–0.85 | Administrative licensing basis has strict statutory expressions, so a high matching degree is required to prevent irrelevant clauses from being recalled |
| Single Search Limit | Top 10 results | The basis for administrative licensing items is usually concentrated in a limited number of clauses, and excessive results will interfere with approval judgment |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common configuration errors
- Upgrading the platform version causes chunking failures in CSV files using the same configuration. The interface displays the prompt "Chunking failed: incompatible field format". The root cause is that the new version has stricter empty field validation for CSV files. The attachment field of correction notification letters in administrative licensing data may contain empty values that have not been preprocessed.
- Knowledge base indexing gets stuck and fails to complete. Background logs show the message "Index task timed out", and the task status remains incomplete. The root cause is that incremental indexing mode is not enabled. When processing a large number of newly added approval documents daily using full processing, the
defaultTokenlimit is exceeded. - Recall results include clauses from irrelevant administrative licensing items. Search results show basis content from non-target items across different departments. The root cause is that index data is not grouped by item code, resulting in mixed recall of vector content from different administrative licensing items.
How to verify proper configuration
- Upload a single administrative licensing service guide PDF, and check that the chunked text includes complete regulatory basis clauses, with no truncation or cross-clause splicing.
- Initiate a test query of "What is the regulatory basis for [specific administrative licensing item]", and confirm that the similarity scores of the recall results fall within the preset range, and only include policy clauses corresponding to the target item.
- Import the newly added administrative licensing item list data from the current day, and check that the indexing task only processes newly added entries, and does not trigger a full reconstruction process.
- View the indexing task logs, and confirm that there are no abnormal prompts such as field format errors or timeout errors, and that all settings meet the preset configuration requirements.
The values provided are common starting points and should be evaluated against relevant sample data.
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.