This document is compiled using the knowledge base retrieval and recall capabilities of FastGPT v4.17.0.
What Data Looks Like for This Category
Typical data for this category originates from EHS departments and maintenance teams of manufacturing enterprises across chemical, metallurgical, machinery, and light industry sectors. It includes documents such as risk identification records, work permits for hot work, confined space work, lifting operations and other special operations, online environmental monitoring data, hazardous waste ledgers, emission monitoring reports, and accident and hidden danger rectification reports. Data sources cover regulatory standards, online environmental monitoring equipment, gas detectors, personnel qualification files, equipment isolation lists, and supervision platforms. Update frequency adjusts based on individual operations, real-time monitoring requirements, or regular inspections. Documents contain fields including operation type, monitoring values, qualification numbers, and isolation measures, and do not follow a unified fixed format.
Constraints on Knowledge Base Retrieval and Recall
Multiple heterogeneous data sources require retrieval to cover both static documents and real-time monitoring data. This prevents missing critical information that must be verified before operations. High-frequency data updates require retrieval to support incremental synchronization. This ensures recalled content aligns with current business status. Cross-process coverage requirements mean retrieval scope must include all EHS-related documents across departments. It cannot be limited to a single process. The lack of unified document formats requires retrieval to rely on semantic matching rather than exact keyword matching. It also requires retention of key fields to enable precise recall.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Documents for this category related to work permits and qualification verification require high matching accuracy. This avoids interference from irrelevant historical accident reports in retrieval results |
limit | Top 6–10 results | In pre-operation risk identification scenarios, excessive recalled documents at once increase the large model’s processing load. A small number of precise results improves decision-making efficiency |
usingReRank | Enabled | Multi-source mixed datasets include both static documents and real-time monitoring data. Reranking corrects relevance ranking bias from initial retrieval |
datasetSearchUsingExtensionQuery | Enabled | Operation-related questions often require association with historical records and monitoring data for the same type of operation. Extended queries cover more relevant content |
collectionIds | Bind three datasets: EHS operation management, environmental monitoring, and personnel qualifications | Data for this category is scattered across multiple independent data sources. Specifying corresponding datasets narrows the retrieval scope |
Three Common Configuration Errors
- Retrieval results do not include newly submitted work permit data. The cause is that no incremental synchronization update mechanism is configured. The knowledge base only synchronizes static historical documents and does not cover real-time submitted operation records.
- The large model response does not reference the top-ranked retrieval result from the knowledge base. The cause is that
usingReRankis not enabled, or thesimilaritythreshold is set too low. This causes highly relevant results from initial retrieval to not be prioritized. - The knowledge base cannot retrieve verification results related to personnel qualifications. The cause is that key fields such as qualification numbers and validity periods were not retained during document chunking, and
datasetSearchUsingExtensionQuerywas not enabled. This prevents semantic retrieval from matching qualification-related queries.
How to Verify Correct Configuration
- Upload one latest confined space work permit and one test question about expired personnel qualifications. Check if the corresponding documents are included in retrieval results.
- Adjust the
similaritythreshold. Verify whether the relevance of retrieval results meets business requirements. Confirm that the threshold must be calibrated based on actual business scenarios. - After enabling
usingReRank, compare result rankings before and after reranking. Confirm whether the ranking of highly relevant documents has been optimized. - Trigger an incremental synchronization task. Verify whether real-time submitted operation monitoring data can be retrieved normally.
The values listed above are common starting points. They should be evaluated against the specific samples of the target deployment.