What this category of data looks like
This data comes from cement enterprise mining, raw material preparation, calcination, grinding, quality control, and energy departments. It covers documents including raw material batching plans, kiln operation records, laboratory test reports, quality control notices, equipment patrol logs, energy consumption reports, and more. Data sources include online composition analysis tools, DCS systems, laboratory records, kiln and grinding equipment ledgers, raw and fuel material ledgers, and energy metering reports. Update frequencies range from real-time, per shift, to daily. Documents include fields such as free calcium content, 3-day compressive strength, kiln temperature, feed rate, and others, with units including MPa, t/h, ℃, and additional standard industrial units.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Multi-source data types require retrieval to support mixed-format recall, adapting to both online real-time data and historical ledger documents. Documents with different update frequencies require differentiated synchronization strategies to prevent delays in real-time data or expiration of historical documents. The existence of department-specific documents requires retrieval to filter datasets by department, blocking irrelevant cross-department documents from being recalled. Specialized fields and units require retrieval to match professional semantics, avoiding recall result deviations caused by terminology mismatches. The high level of rigor required for quality issue traceability means recall results must cover linked multi-stage documents, ensuring complete traceability chains.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Semantic similarity threshold for matching cement clinker specialized documents, filtering out irrelevant general patrol records |
limit | Top 10 results | Covers associated documents across scenarios including raw material batching, kiln thermal control, and quality inspection, balancing context length and recall completeness |
searchMode | embedding | Adapts to mixed retrieval needs for online composition analysis, DCS real-time data, and historical ledgers, supporting cross-document linked recall |
usingReRank | Enabled | Improves ranking accuracy for documents related to quality control notices and strength indicators, reducing interference from low-relevance results |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands specialized search terms related to raw and fuel fluctuations and batching adjustments, matching exclusive terminology for raw material batching plans |
collectionIds | Specified ID collections split by quality, calcination, and grinding departments | Implements department-level permission isolation, ensuring that different departments can only recall their own department-specific documents |
Three Common Misconfigurations
- Retrieval results return only 2 or fewer documents, failing to cover multi-stage data required for quality traceability. This occurs because the
limitconfiguration value is set too low, leaving insufficient recall volume to cover associated documents such as raw material batching and kiln operation records. - Accounts from different departments can view all documents, failing to achieve department-level permission isolation. This occurs because the
collectionIdsfilter for specified departmental dataset collections is not configured, leading to imprecise permission partitioning. - Retrieval requests return timeout errors and fail to return results within a reasonable timeframe. This occurs because
usingReRankis not enabled andlimitis set too high, causing the volume of loaded context documents to exceed response thresholds.
How to Verify Successful Configuration
- Submit a traceability query for unqualified clinker strength, and check whether the recall results include the corresponding batch’s laboratory report, quality control notice, and on-shift kiln operation record.
- View the retrieval log to confirm that the semantic similarity of recalled documents falls within the range specified by the
similarityconfiguration, and that highly relevant specialized documents are displayed first. - Initiate retrieval using accounts from different departments, confirming that only department-specific documents can be recalled, and cross-department raw material or calcination documents are not returned.
- Upload new on-shift kiln operation records, wait for synchronization to complete, then initiate retrieval to confirm that the new document can be recalled normally.
The configuration values listed here are common starting points. Adjust them based on your own specific samples and operational requirements.