What this category of data looks like
Daily documents for this category include basic government service item catalogs, implementation lists, service guides, standard material catalogs, flowcharts, and frequently asked questions. Data sources include the national basic government service item catalog, administrative licensing item list, power and responsibility list, and local government service item databases. The data updates monthly, and is usually maintained by bodies such as the reform review office and government service data administration bureaus. Documents contain both structured tables and unstructured text, with fields covering item names, codes, acceptance conditions, application materials, service processes, and more. No unified fixed unit format exists, and some fields must match standardized expressions from higher-level catalogs.
Constraints for Vector Models and Indexes Link
The monthly update cycle requires indexes to support efficient incremental synchronization, avoiding resource consumption from full reconstruction. Mixed structured and unstructured document characteristics demand chunking strategies adapted to different content formats, preventing incorrect splitting of structured fields. The rigor of government terminology requires vector models to adapt well to domain-specific expressions. The maxToken setting must match the input length limit of the embedding model, and low-match recall results must be filtered. Multi-field document structures require indexes to balance weights across different fields, ensuring key policy and regulatory basis information is recalled first.
Reference only; verify against the target FastGPT release and deployment documentation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the long-text structure of government service guides, preserving complete semantic units |
| Overlap Length | 100–200 characters | Prevents semantic breaks across chunks, ensuring coherence of key clauses |
| maxToken | 4096 | Matches the input length limit of most commercial and open-source embedding models |
| defaultToken | 1024 | Balances index storage overhead and recall information completeness |
| Similarity Threshold | 0.75–0.85 | Matches the rigor of government policy terminology, filtering low-match recall results |
| Single Search Limit | Top 10 results | Government service items have clear entries; excessive results increase business verification costs |
Three Common Misconfigurations
- Phenomenon: Persistent errors occur when connecting a third-party embedding model, and index construction cannot be completed. Cause: A dedicated embedding model for indexes is not configured separately, and the API key and parameters of the chat model are reused, leading to abnormal model call links.
- Phenomenon: After starting with docker-compose, the console returns a 503 status code, and index configuration fails to load. Cause: The CHATAPIKEY environment variable is not configured correctly, and the container is not rebuilt to apply the new configuration.
- Phenomenon: Target entries are not matched when retrieving government service items, and recall results do not match expectations. Cause: The chunk length is not adjusted based on the structured characteristics of government documents, resulting in truncation of key acceptance condition or application material fields.
How to Verify Successful Configuration
- Enter the index configuration page of the FastGPT knowledge base, confirm that the index module is separately bound to the specified embedding model, and chat model configuration items are not reused.
- Run a single index construction task, check that the console log contains no model call failures, 503 status codes, or timeout prompts.
- Input the standard name of a government service item for retrieval, confirm that returned results include the corresponding policy basis field, and match degree meets business verification requirements.
- Trigger an incremental index task, verify that the latest updated monthly government catalog data can be retrieved normally.
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.