What This Category’s Data Looks Like
Service subjects for this category include special equipment divisions of market supervision bureaus, inspection and testing institutions, equipment users, and maintenance providers. Data originates from special equipment safety supervision systems, inspection and testing institution systems, user account books, and operator certificate databases. Daily documents include use registration certificates, periodic inspection reports, maintenance records, hidden danger rectification notices, accident reports, and operator certificates. Each document includes fields such as unique equipment number, inspection cycle node, and hidden danger rectification status. Data updates occur monthly. The dataset must cover full lifecycle information for equipment, including registration, inspection, maintenance, and rectification processes. This supports policy basis matching and compliance verification for supervision scenarios.
Constraints on Vector Models and Indexes
Full monthly batch updates require indexes to support incremental synchronization mode. This prevents excessive resource usage and response timeouts from full reindexing. Documents have wide variations in length. Long texts such as accident reports need appropriate chunking. This avoids truncating key policy clauses. Unique identifier fields including equipment number and operator certificate number must be bound to the index as metadata. This improves precise association during retrieval. Supervision scenarios require prioritizing recall of policy-compliant documents. The index recall logic must differentiate weights between business documents and policy basis content. This ensures retrieval results align with supervision requirements.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the average length of single documents such as periodic inspection reports and maintenance records, prevents truncation of key policy clauses |
| Overlap Length | 100–150 characters | Covers continuity of policy clauses across chunks, ensures no consecutive regulatory basis content is missed during retrieval |
maxToken | 8192 tokens | Matches the context window limit of general large models, supports content from multiple associated policy and supervision documents |
| Single Search Limit | Top 8 results | Covers the number of associated documents in a single supervision scenario, avoids redundant results interfering with policy matching |
defaultToken | 2048 tokens | Adapts to the context input length of a single policy Q&A, balances response speed and information completeness |
| Similarity Threshold | 0.75–0.85 | Distinguishes matching degrees between original policy documents and associated interpretations, ensures recalled content meets precision requirements for supervision basis |
Three Common Misconfigurations
- An interface 60-second timeout error appears when switching knowledge base indexes. Cause: Indexes for monthly batch updates are not split into batches. Full synchronization of all special equipment data consumes excessive system resources, exceeding the interface response time limit.
- A knowledge base shows only a small number of documents, but stays in "training" or "rebuilding" status for over 24 hours. Cause: The configured chunk length exceeds the processing limit of a single node, and incremental index mode is not enabled. Each rebuild trigger executes a full data scan.
- After batch index addition, some documents fail to associate with the corresponding equipment number field. Cause: Request parameters do not carry metadata binding rules, so the index only stores text content and cannot associate equipment identification information required for supervision.
How to Verify Proper Configuration
- Manually trigger a small-batch index rebuild for fewer than 100 documents. Confirm task duration meets expectations, and no timeout errors occur.
- Search for queries such as "boiler periodic inspection requirements". Verify that recalled documents include associated content such as periodic inspection reports and use registration certificates, and that metadata fields are complete.
- Adjust the similarity threshold to the 0.7–0.85 range. Verify changes in recall result precision, confirm alignment with matching requirements for supervision scenarios.
- Check the index monitoring panel. Confirm incremental update tasks trigger normally, with no long-pending rebuild queues.
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.