What This Category of Data Looks Like
Data sources for construction machinery research reports include industry associations, third-party industry research institutions, original equipment manufacturer public technical documents, and public market analysis reports. These reports support scenarios including financial institution industry analysis, wealth advisor client consultations, and insurance institution risk assessment. Updates follow a regular quarterly and annual cadence, with ad-hoc updates for new product launches, industry policy adjustments, and core component price fluctuations. Document structures include modules such as structured parameter tables, technical specification descriptions, competitor comparison analyses, and market outlook projections. Document length varies widely, ranging from a few pages of quick reference device parameter sheets to dozens of pages of in-depth analysis reports. Core fields include device model, rated power, maximum lifting height, operating radius, fuel consumption rate, and more. Corresponding units are mostly kilowatts, meters, percentage, and similar units.
Constraints on Knowledge Base Retrieval and Recall
Scattered data sources cause inconsistent field naming across documents from different sources. Standardize fields during the parsing phase, or parameter-based queries cannot be matched accurately. Irregular update cadence with ad-hoc updates requires regular synchronization of knowledge base data sources. Prioritize recently published documents in the recall link to meet real-time financial analysis needs. Wide variation in document length means short documents retain high semantic integrity. Chunk long documents properly to avoid context breaks. Support upload and parsing of large files. Numerous numeric parameters require retrieval to match both text keywords and numeric thresholds. Standard text recall rules may fail to cover these precise matching needs, reducing industry analysis accuracy for financial scenarios.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Single in-depth construction machinery research report contains numerous charts and parameter tables, leading to long parsing times. This range avoids interrupting the parsing process due to timeout |
UPLOAD_FILE_MAX_SIZE | 500-1000 MB | Single in-depth research report may include high-resolution illustrations and detailed data tables. This range supports upload requirements for large files |
chunkSize | 800-1200 characters | Balances semantic integrity for short parameter entries and long analytical text, avoiding splitting parameters and analysis content for the same device into different chunks |
similarityThreshold | 0.75-0.85 | Balances accuracy of text keyword matching and numeric parameter association matching, filters out recall results that only match keywords but do not match the correct device type |
recallTopK | 10-15 results | Covers multi-dimensional retrieval needs including device parameters, competitor comparisons, market analysis, providing sufficient reference information for subsequent responses |
rerankTopN | 5-8 results | Filters redundant similar results, retains device parameters and core analysis content most relevant to user queries |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. Validation against local test samples is recommended before finalizing settings.
Three Common Mistakes
- Phenomenon: In version v4.8.10, uploading a research report larger than the set threshold displays
504 Gateway Timeoutin the interface, and the uploaded file cannot be seen immediately in the knowledge base list. Cause: ThePARSE_FILE_TIMEOUT_SECONDSandUPLOAD_FILE_MAX_SIZEconfigurations are not adjusted. Default parameters are insufficient to support the large file size and long parsing time of construction machinery research reports. - Phenomenon: In multi-turn dialogues, follow-up questions cannot link to the device type selected in the previous round. For example, the first query asks for market analysis of a specific excavator model, and the second query asks for the fuel consumption rate of that model, but the returned results are associated with other devices. Cause: Session context passing configuration is not enabled, or the knowledge base is not bound to the corresponding session link, leading to context loss.
- Phenomenon: After configuring tool call rules, launching a query that requires research report retrieval returns only generic answers, with no content related to construction machinery research reports. Cause: The construction machinery research report knowledge base is not configured as the data source for tool calls, or the retrieval scope is not limited to this knowledge base in the tool call rules.
How to Confirm Proper Configuration
- Upload an in-depth research report with more than 10 pages. Wait for parsing to complete, then check in the v4.8.10 version's knowledge base management interface that the file status is "Parsed" with no abnormal error logs.
- Enter a query containing specific device parameters, such as "Technical parameters of 15-ton rated lifting capacity crawler bulldozers". Check whether the recall results include documents with corresponding parameters, and whether result relevance meets expectations.
- Launch two consecutive dialogue rounds. First, ask for market analysis of a specific excavator model. Second, ask for the fuel consumption rate of that model. Check whether the returned results are linked to the device type selected in the first round, confirming that context transfer is working properly.
- After configuring tool call rules, launch a query that requires research report retrieval. Check whether the tool call logs include relevant records of knowledge base retrieval, confirming that the data source has been correctly bound.
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.