This configuration is based on the knowledge base retrieval functionality of FastGPT v4.17.0.
What the Data for This Category Looks Like
Core data for cement clinker and grinding comes from cement plant mining, raw material, calcination, grinding, quality, and energy departments. Daily documents include raw material batching plans, kiln operation logs, laboratory reports, quality control notices, equipment inspection records, and energy reports. Data sources include online composition analysis systems, DCS control systems, laboratories, kiln and grinding equipment, raw and fuel ledgers, and energy metering devices. Three update frequency categories apply: real-time, per-shift, and daily. Document fields include raw and fuel composition values, kiln temperature parameters, clinker mineral proportions, cement strength indicators, and units such as tons, degrees Celsius, MPa, and kilograms per cubic meter.
Constraints on Knowledge Base Retrieval and Recall
Multi-source, heterogeneous data requires the retrieval system to parse and match mixed-format documents. This prevents missed recalls caused by differences in document types. Differentiated update frequencies need the knowledge base to support real-time incremental updates, per-shift batch updates, and daily full updates. This ensures retrieval results stay timely. Specialized process fields and units need the retrieval model optimized for cement industry terminology. This ensures accurate semantic matching. Core business processes have high error risk, so the retrieval and recall link must prioritize documents related to batching adjustments, kiln thermal control, and quality indicator management. This stops irrelevant results from interfering with cross-review workflows.
How to Configure the System
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Similarity Threshold | 0.75–0.85 | Semantic similarity interval matching cement process terminology, filters low-relevance general documents |
| Single Search Limit | Top 10 entries | Covers the typical number of core business documents such as rotary kiln operation records and batching plans, avoids excessive results reducing review efficiency |
| Search Mode | Semantic retrieval + keyword hybrid | Balances semantic matching of professional terminology and precise keyword matching for documents, adapts to retrieval needs for batching plans and inspection records |
| Reranking | Enabled | Reorders initial recall results by relevance, prioritizes displaying core documents related to clinker quality and kiln stability |
| Query Optimization | Enabled | Performs semantic decomposition of long queries for cement processes, improves recall performance for complex retrievals such as "raw material adjustment plans under raw fuel fluctuations" |
| Associated Dataset Collections | Raw material batching library, kiln operation library, laboratory report library | Covers document collections from core business departments, ensures the retrieval scope includes all necessary technical documents |
Three Common Configuration Mistakes
- Embedded images such as rotary kiln system flowcharts and raw material batching sheets in retrieval results cannot be rendered properly. Cause: Relative paths of image resources were not retained during document parsing, so the knowledge base cannot load locally stored process drawings and forms.
- When using the bge-m3 embedding model, semantic retrieval scores are generally too high or exceed the preset interval. Cause: No custom vocabulary was extended for cement industry professional terms such as clinker mineral phases and grinding fineness, leading to abnormal matching thresholds for similar terms.
- The number of retrieval return results is less than the set single search limit. Cause: Associated dataset collections were not configured correctly, only some departmental knowledge bases were linked, and key document collections such as the raw material batching library and inspection record library were omitted.
How to Verify the Configuration Is Correct
- Upload a test document containing rotary kiln operation records and 28-day strength laboratory reports, run the retrieval query "raw material adjustment plans under raw fuel fluctuations", and check whether key paragraphs of the corresponding documents are included in the returned results.
- View embedded images in the retrieval results, confirm that process resources such as rotary kiln system flowcharts and batching sheets can be displayed normally.
- Adjust the value of the similarity threshold, observe changes in the matching degree of retrieval results, and confirm that the parameter configuration has taken effect.
- View the knowledge base update log, confirm that real-time, per-shift, and daily update tasks are executed normally at the preset frequencies.
The values provided are common starting points and should be measured against the reader's own samples.