What the data for this category looks like
Construction engineering investment research data originates from national and local construction engineering quotas, current construction standard drawings, project bidding documents, on-site construction logs, and cost settlement reports. Two update rhythms apply: regular and real-time. Quotas and standard drawings update every 1 to 2 years alongside industry standard revisions. Bidding documents and construction logs update in real time as individual projects progress. Document structures primarily include structured tables, sub-clause regulations, and timestamped logs. Core fields cover building area, steel consumption, unit cost, construction process parameters, and more. Most fields have dedicated units such as yuan/square meter and man-hours/cubic meter.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The structured nature and unit specificity of construction engineering investment research data create clear constraints for multi-turn dialogue and prompt configuration. First, multi-turn dialogue must continuously track project-specific parameters including project location and structure type to prevent cross-project data mixing. Second, prompts must explicitly specify fields with matching units to avoid errors from mixed cost units. Third, individual documents have significant length, so the number of documents recalled per pass must be limited to avoid context overload that disrupts investment research judgments. Fourth, real-time updated bidding and construction log data requires the dialogue system to quickly link to the latest project information to support dynamic investment research needs.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | Last 8 chat records | Construction engineering investment research requires tracking multi-dimensional context such as construction stage and project parameters. 8 records cover the complete single-project investment research dialogue cycle |
recallTopK | Top 6 recalled documents | Construction quotas and standard documents are highly professional. A recall volume of 6 can cover multi-dimensional basis for corresponding processes and avoid interference from redundant information |
similarityThreshold | 0.75–0.85 | Construction data fields have high accuracy requirements. This threshold can filter out quota documents from irrelevant regions and versions to ensure that recalled content meets matching standards |
workflow_chat_history_length | 6 | Matches the default configuration logic of plugin nodes in version v4.8.10, avoiding response delays caused by overload of chat history in workflows |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Construction standard drawings and bidding documents are mostly large PDF or CAD files. This setting can accommodate large document upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large construction documents requires a long time. 300 seconds can complete the complete parsing process and avoid mid-process timeout interruptions |
The parameter values provided on this page are common recommended starting points for configuration setup. 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 configurations.
Three Common Misconfigurations
- Symptom: After a text content extraction node is added to a workflow, multi-turn dialogue fails to function, and no error logs are generated. Cause: In version v4.8.10, workflow nodes do not have chat history transfer enabled by default. Only simple applications automatically associate dialogue context.
- Symptom: API calls to multimodal models for image dialogue return format errors. Cause: Base64-encoded image data is not included in the request, or the required input field format is not specified per interface requirements.
- Symptom: Recalled construction cost data uses mixed units, such as both yuan/square meter and yuan/cubic meter appearing simultaneously. Cause: The prompt does not explicitly require matching the target project’s unit system, or the similarity threshold is set too low, resulting in the inclusion of unrelated quota documents.
How to Verify Correct Configuration
- A chat history transfer node is added to the workflow. Two related questions are initiated. For example, the steel consumption of a specific project is queried first, followed by a query for the corresponding cost of that steel consumption. The AI’s ability to associate prior project parameters is verified.
- A construction engineering standard drawing set is uploaded. The parsed document fields are checked for required investment research content such as building area and steel consumption to confirm that parsing parameters take effect.
- The API interface of a simple application is called. A request body containing historical dialogue is passed, and the returned result is checked for association with historical context information.
- The similarity threshold is adjusted to the target range. A query referencing multiple regional quotas is initiated, and the recalled content is verified to only match construction data from the target region.
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.