What this category’s data looks like
Construction machinery investment research data comes from five main sources: publicly available product manuals and quarterly financial reports from equipment manufacturers, monthly operation reports released by industry associations, winning bid announcements on public bidding platforms, and operation logs from equipment maintenance operators. Product manuals include parameters such as complete machine rated power and operating radius. Bidding announcements include project procurement quantities and detailed winning bid amounts. Operation logs record long-term operating durations and equipment fault records. Update cadences differ across sources: Manufacturer product manuals receive static updates when new models launch. Financial reports are updated quarterly. Bidding information is synchronized in real time. Industry reports are updated monthly. Most field units follow professional metrology standards: Rated power uses kilowatts, operating radius uses meters, equipment weight uses tons, and winning bid amounts use Chinese yuan.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Decentralized data sources and inconsistent update cadences require distinguishing recall priority between real-time bidding data and historical parameter documents during multi-turn dialogue, to avoid returning outdated information. Documents are structured into three categories: parameter tables, bidding details, and operation logs. Prompt engineering must explicitly specify the target document type for recall, to prevent mixing different data categories. Professional field units vary across sources. Multi-turn dialogue must automatically unify units and label them, to avoid user confusion from unit discrepancies. Bidding data has high real-time requirements. Interaction flows must control response duration to ensure smooth dialogue.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Construction machinery investment research documents are mostly long parameter tables and multi-page reports, requiring sufficient retained context to avoid interruptions |
recall_top_k | Top 8–12 results | Investment research data has multiple dimensions, requiring sufficient recalled parameters and bidding information to cover user queries |
similarity_threshold | 0.75–0.85 | Professional terminology matching requires high accuracy, to avoid recalling irrelevant general equipment data |
prompt_template | Fixed template: first clarify the recalled document type, then organize content in the order of parameters/bidding/operations, and label units | Construction machinery data has high professional requirements, and a fixed format prevents content confusion |
file_parse_chunk_size | 1000–1500 characters | Equipment parameter tables are mostly segmented content, and an appropriate chunk size preserves field integrity |
timeout | 60 seconds | Real-time bidding data requires fast retrieval, and excessive timeout negatively impacts interaction experience |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific scenarios require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: A citation is forcibly displayed at the end of responses, and a no-permission operation prompt pops up. Cause: The
enable_citationparameter is not configured to be toggleable off, and access permissions for citation metadata are not enabled. - Symptom: Professional units are inconsistent during multi-turn dialogue, such as both "kilowatts" and "horsepower" appearing. Cause: No unit conversion rule is included in the
prompt_template, and no unified labeling is applied to construction machinery parameters from different sources. - Symptom: Clicking quick reply buttons on the conversation opening screen has no response. Cause: The
quick_replyparameter is not configured on the frontend to bind preset investment research questions, and the button event is not correctly linked to the conversation sending interface.
How to confirm correct configuration
- Initiate multi-turn queries that include parameters for multiple different construction machinery models, and confirm that the conversation context fully retains parameter information from prior questions.
- Submit queries that include bidding information, and confirm that returned results are organized per the preset template with unified units.
- Test the citation switch, and confirm that the citation module at the end of responses can be enabled or hidden via configuration.
- Trigger the quick reply buttons on the conversation opening screen, and confirm that clicking a button automatically sends the corresponding preset investment research question.
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.