What data for this category looks like
Data sources for general equipment intelligent due diligence include manufacturer technical manuals, equipment operation and maintenance logs, third-party industry inspection reports, and bidding equipment configuration lists. Updates follow per-equipment unit cycles. Operation data for routine general equipment such as pumps and compressors is updated quarterly. Parameter data collected after major overhauls is updated annually. Document structures include structured fields such as equipment model, rated power, flow rate, and pressure. They also include unstructured descriptions like installation location, serial number, and fault history. Field units use fixed industry standard units such as kW, m³/h, and MPa.
What constraints do these characteristics impose on vector models and indexing
Differences in data formats across sources require vector models to support vectorization for structured logs, semi-structured manuals, and unstructured records. Fixed field units require models to preserve unit semantics during encoding, to prevent parameter value confusion. The per-equipment update cycle requires indexes to support incremental updates, avoiding resource costs from full reindexing. Coexisting long documents and short entries require chunking strategies that balance length and semantic integrity. Otherwise, parameter splitting errors may occur.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Single-segment parameter descriptions in general equipment technical manuals are mostly under 800 characters, while operation log entries are short. This chunk length balances long documents and short entries |
recall_top_k | Top 8–12 results | General equipment due diligence reports need to cover three core data types: equipment parameters, operation records, and fault history. Excessive recall results increase context redundancy |
vector_model_api_timeout | 120 seconds | Parameter documents for large general equipment take longer to vectorize after parsing, to avoid timeout interruptions |
index_incremental_strategy | Incremental update by equipment serial number | General equipment data is managed per individual unit. Updating by serial number avoids full index reconstruction |
parse_excel_sheet_limit | 20 worksheets | General equipment operation log Excel files are often split by month or fault type. 20 worksheets covers conventional log structures |
The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- Symptom: Unable to export due diligence-related index data for a single equipment model. Only full knowledge base exports are supported. Cause: No equipment serial number metadata field is bound to the vector index. Indexes are not grouped by business units, so precise export is not possible.
- Symptom:
504 Gateway Timeouterror appears when connecting an external vector model. Cause: Thevector_model_api_timeoutparameter is not adjusted. Vectorization time for long technical manuals of general equipment exceeds the default setting. - Symptom: Imported Excel operation logs only extract the equipment model field. Other parameters are not indexed. Cause: The
parse_excel_header_rowparameter is not configured. The header row is not correctly identified, so parameter fields not in the first row are not parsed.
How to confirm correct configuration
- Upload the technical manual and operation log for a single piece of general equipment. Check that parsed text is split into paragraphs by equipment serial number, and confirm metadata fields are bound.
- Run a recall test for due diligence data. Verify returned results cover the three core data types: parameters, operation records, and fault history. Adjust the number of recalled results to match business requirements.
- Perform an incremental update. Confirm only newly added or modified equipment data is reindexed, and no full index reconstruction is triggered.
- Export index data for a specified device. Check that exported content only includes documents related to that device, and confirm the grouping strategy is active.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.