What the Data for This Category Looks Like
Construction machinery internal office and employee service data sources mainly include equipment operation and maintenance logs, maintenance operation manuals, employee training courseware, spare parts inventory Excel reports, scheduling and attendance documents, and others. Operation and maintenance logs are generated in real time based on equipment operation nodes. Maintenance manuals and training courseware are updated quarterly or during major version releases. Inventory reports and scheduling documents are updated weekly. The document structure includes three categories: structured tables (such as spare part codes, maintenance man-hours, cost amounts), PDF text with technical parameters, and plain-text operation and maintenance records. Fields cover equipment numbers, operating hours, maintenance costs, working hours, and more, with units including hours, yuan, days, and others.
Constraints Imposed by These Characteristics on the Vector Model and Indexing Link
The real-time update feature of operation and maintenance logs requires the index to support incremental synchronization, to avoid resource waste and delay caused by full reindexing. Structured Excel reports contain fixed fields and units, so field associations must be retained during chunking to prevent damage to data logic after splitting. Long documents such as maintenance manuals include continuous technical steps and parameters, so chunking must match semantic boundaries to avoid breaking technical information during splitting. Mixed multi-format data needs to adapt to different vectorization preprocessing rules to ensure unified and effective vectorization results for tables, text, and PDFs.
Configuration Settings
In FastGPT v4.17.0, the following configuration items can be adjusted directly in the vector model and indexing module:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the single-segment semantic length of construction machinery maintenance manuals and operation and maintenance logs, to avoid splitting technical parameters and operation steps |
| Overlap Length | 100–150 characters | Retains context connection between chunks, prevents maintenance steps from being split and broken |
defaultToken | 8192 | Adapts to the context window of long documents, supports fully loading complete operation and maintenance log segments for a single device |
| Similarity Threshold | 0.72–0.78 | Calibrated through actual testing, distinguishes semantic similarity between equipment operation and maintenance logs and general training documents |
| Single Search Limit | Top 6 entries | Matches the multi-document associated query needs of internal office work, avoids interference from redundant results |
maxToken | 4096 | Controls the processing length of a single batch of vectorization, prevents timeout errors triggered by long documents |
Three Common Misconfigurations
- Phenomenon: The index content is incorrect after vectorizing Excel spare parts reports, and field information is missing. Cause: The Excel structured parsing switch was not enabled, so table content was treated as plain text, and field associations were lost.
- Phenomenon: Duplicate indexes appear after batch uploading documents, and the number of chunks for a single document does not match the number of chunks displayed during upload. Cause: The automatic incremental update switch was not turned off, causing the same file to repeatedly trigger the chunk indexing process.
- Phenomenon: After upgrading from an older version, existing queries cannot match previously uploaded documents, and vector training parameters cannot be adjusted in batches. Cause: The original vector model configuration parameters were not retained, and the batch processing switch was not enabled, so only single-file vectorization triggering was supported.
How to Verify Correct Configuration
- Upload a single typical document, such as the monthly operation and maintenance log for a single device, check the chunk list, confirm there are no duplicate chunk entries, and the chunk length matches the preset range.
- Trigger an incremental indexing task, confirm in the task log that only newly uploaded or modified files were processed, and no full reindexing was triggered.
- Enter a query term related to equipment operation and maintenance, verify that the chunked semantics of the returned results are coherent, with no broken technical parameters or field information.
- Adjust the similarity threshold, verify that the relevance of the query results meets the internal office usage needs, with no excessive irrelevant content.
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.