What the data for this category looks like
Construction machinery investment research data comes from four main sources: public industry association reports, official product manuals from original equipment manufacturers (OEMs), public engineering bidding announcements, and terminal operating condition logs.
Data update frequency varies by type:
- OEM new product parameters are updated quarterly
- Bidding data is synchronized daily
- Operating condition logs are generated in real time
Document structures include:
- Standardized parameter tables with fields such as rated lifting capacity, maximum operating radius, using units of tons, meters, and kilowatts
- Operating condition adaptation analysis paragraphs
- Detailed supply chain cost breakdowns
Each document includes a release date and data source identifier.
What constraints these characteristics impose on the citation source and traceability link
Multi-source heterogeneous data sources require traceability to mark the data source type and authority level for each cited segment. This prevents parameter conflicts across different sources. Data with different update frequencies must include timestamps in traceability records. This allows filtering content with timeliness that matches investment research needs. Standardized fields and units require retaining original unit annotations during traceability. This stops parameter confusion. Long documents and complex table structures require traceability to pinpoint specific paragraphs or table rows. Associating traceability only to the entire document does not meet requirements.
How to configure settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
similarity threshold | 0.78-0.82 | Construction machinery parameter fields have high standardization. This range balances accurate matching and recall coverage for older model data |
recall count | 10-15 | Single construction machinery documents contain multiple core parameter sets. An appropriate recall volume covers multi-dimensional data required for investment research |
rerank_top_k | 4-6 | After reranking, retain only the most relevant core data sources. This avoids redundant information interfering with investment research judgments |
maximum citation snippet length | 1000-1500 characters | Matches standard layout lengths for construction machinery operating condition analysis paragraphs and product parameter tables, preserving full context |
traceability information included fields | Retain data source name, document release time, original page number | Investment research reports require clear marking of data source authority, timeliness, and precise location to meet compliance requirements |
The parameter values provided on this page are common starting points for configuration settings. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing values.
Three common configuration errors
- Phenomenon: Empty citation snippets appear in search results after enabling
rerank_top_k. Cause: The configuredrerank_top_kvalue is smaller than the recall count, and no fallback recall logic is set. This leaves no valid fragments after reranking filtering. - Phenomenon: The
original page numberfield is missing from exported traceability JSON files. Cause: This field was not selected in thetraceability information included fieldsconfiguration, or the page number extraction function was not enabled in the document parsing process. - Phenomenon: Traceability information does not distinguish data source types after multi-source data retrieval. Cause: No data source classification marking parameter was configured. This makes it impossible to differentiate priority levels across sources such as industry association reports and OEM manuals.
How to confirm configurations are properly set
- Upload a construction machinery product manual, run a keyword search, and check the result sidebar to confirm the configured traceability fields are displayed.
- Adjust the
similarity thresholdto the upper and lower limits of the recommended range, and compare changes in search recall counts. This verifies the rationality of the threshold value. - Enable the reranking function, then check if the number of returned citation snippets matches the
rerank_top_ksetting, with no abnormal empty values. - Export the traceability JSON file for search results, and confirm all configured traceability fields are present with no missing entries.
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.