What This Category of Data Looks Like
This category of data comes from daily work outputs of manufacturing enterprise EHS departments and maintenance teams, plus external regulatory sources. It includes risk identification lists, hot work, permit-required confined space, and hoisting operation tickets, online environmental monitoring records, hazardous waste ledgers, emission monitoring data, accident and hidden danger rectification reports, and other content. Data sources cover regulatory standards, online environmental monitoring equipment, gas detectors, personnel qualification files, equipment isolation lists, and regulatory platforms. Updates generate in real time as operations run, or follow monitoring cycles and regular inspection requirements. Most documents use structured forms or unstructured text, with fields such as operation type, monitoring values, qualification numbers, and rectification time limits. No unified fixed format exists for these documents.
Constraints Imposed by These Characteristics on Knowledge Base Retrieval and Recall
The multi-source heterogeneous nature of this category of data requires retrieval and recall to adapt to multiple data formats including structured forms, real-time monitoring values, and unstructured text. This avoids missing key fields. The high-frequency update characteristic requires the retrieval pipeline to support incremental synchronization. This ensures recalled results match the latest operation requirements and monitoring data. Core links such as pre-operation risk identification and qualification verification have high information timeliness requirements. Content updated in recent cycles must be recalled first. The severe consequences of errors require retrieval results to cover all necessary compliance items. This avoids audit mistakes caused by missing information.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | This category requires precise matching of compliance requirements and operational risks. This range filters low-relevance results while retaining sufficient relevant information |
limit | Top 8–12 entries | Operation audits need to cover multi-dimensional compliance items. Too many results increase audit burden, while too few may miss critical information |
searchMode | mixedRecall | This category of data includes structured fields and unstructured text. Hybrid retrieval matches both keywords and semantically related content |
usingReRank | Enabled | Multi-source data has large differences in relevance. Reranking filters low-quality recall results and raises the priority of core compliance information |
datasetSearchUsingExtensionQuery | Enabled | Operation-related terms have multiple expression methods. Extended queries cover more synonyms and industry common expressions |
collectionIds | Bind the corresponding safety and environmental protection operation management knowledge base collection | Accurately limit the retrieval scope and avoid cross-category data interfering with audit results |
Three Common Mistakes
- Retrieval results include product quality inspection related documents, which do not match the safety and environmental protection operation requirements of the current category. The cause is failure to limit the retrieval scope via
collectionIds, and cross-category knowledge base collections are called. - The number of retrieval results for pre-operation risk identification is insufficient to cover all compliance items. The cause is that the
similaritythreshold is set too high, filtering some historical operation records and risk lists that meet the required relevance level. - An error similar to "text index required for $text qu" is returned when calling the knowledge base retrieval node. The cause is failure to regenerate the vector index of the corresponding knowledge base after upgrading FastGPT, or failure to trigger index updates after adding new documents.
How to Verify Proper Configuration
- Check that the
collectionIdsin the retrieval configuration only bind the current safety and environmental protection operation management knowledge base collection. Confirm no cross-category data is included. - Initiate a simulated pre-operation risk identification retrieval request. Verify that the returned document types cover operation tickets, risk lists, and other data within the current category.
- Verify that the sorting of retrieval results aligns with business priorities. Confirm that the
usingReRankconfiguration is active. - Test adding a new operation ticket document. Confirm that the retrieval can recall this document, verifying that incremental update and index rebuilding processes work correctly.
The values provided are common starting points and should be measured against the reader's own samples.