What this category of data looks like
This category of data comes from work safety supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems. The generating entities are emergency management departments, industry competent departments, safety management departments of production and business units, and park management committees. Daily documents include hazard investigation checklists, hazard management ledgers, rectification notices, review records, and major hazard listing and supervision orders. The data update frequency is daily. Core fields include hazard ID, investigation time, rectification responsible person, rectification deadline, review result, and others. The overall structure follows the hazard closed-loop management process, with no additional custom business units.
What constraints these characteristics impose on the "vector models and indexes" link
Structured and non-mixed data updated daily requires indexes to support incremental updates to adapt to the high-frequency synchronization rhythm. Documents are designed around hazard closed-loop management and contain clear business-related fields. Vector modeling must retain core related information such as hazard ID and rectification responsible person to avoid splitting business logic. Unstructured documents such as law enforcement inspection records and supervision orders have diverse formats, requiring adaptation to multi-source parsing logic. Recall accuracy under massive data must match the precision requirements for hazard determination, while balancing search response speed to avoid slowing down the review process due to too many recalled data in a single batch.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the paragraph length of documents such as hazard investigation checklists and rectification notices, avoiding splitting that damages business semantics |
| Overlap Length | 100–150 characters | Retains relevant information such as hazard ID and rectification deadline across chunks, preventing key fields from being split and truncated |
| Similarity Threshold | 0.75–0.85 | Matches the precise recall requirements of major accident hazard determination standards, filtering irrelevant investigation records |
| Single Search Limit | Top 10 entries | Balances search speed and recall completeness, adapting to the information volume of daily investigation review |
maxToken | 4096 token | Adapts to the total length limit after multi-format document parsing, avoiding truncation of core rectification content |
defaultToken | Calibrated based on actual measurements | Adapts to resource constraints of local deployment, avoiding excessive memory usage |
Three common mistakes
- Phenomenon: In a local deployment environment, search response times out after indexing hundreds of thousands of hazard data entries, or returns no retrievable results. Cause: No incremental indexing strategy is configured for daily incremental updates, and repeated loading of full indexes causes excessive system resource occupancy.
- Phenomenon: Split fragments of rectification notices appear in search results, and complete rectification deadline and responsible person information cannot be associated. Cause: Chunk length is set too small, splitting core related fields such as hazard ID and rectification responsible person across paragraphs.
- Phenomenon: A configuration error prompt pops up when calling the vector model, and embedding generation cannot be completed. Cause: The
defaultTokenparameter is not correctly configured in the configuration file, or the local deployment path of the embedding model does not correctly point to the target file.
How to confirm the configuration is complete
- Check the system index logs to confirm that daily incremental update tasks are executed automatically without abnormal errors.
- Enter a specific hazard ID or rectification responsible person's name to verify whether the search results return complete relevant document fragments.
- Upload a single rectification notice document to confirm that key rectification deadline and review result fields are not lost in the parsed chunked content.
- Adjust the similarity threshold range to verify that the recall accuracy of search results matches the actual needs of business review.
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.