Data Characteristics of This Category
Engineering consulting data primarily originates from project feasibility study reports, bidding documents, cost accounting lists, site survey records, and industry specification standard documents. Data updates are adjusted based on individual project progress. Supplementary site data is added on demand after project initiation, and specification content is synchronized and updated following policy adjustments. Most documents use a structured, chapter-based format, including fields such as project number, section scope, cost amount, construction period requirements, and specification clause numbers. Standard engineering units are used, including square meters, ten thousand yuan, working days, and cubic meters.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The characteristics of engineering consulting data impose multiple constraints on the multi-turn dialogue and prompt engineering link. First, in scenarios with multiple parallel projects, data includes exclusive identifiers such as project numbers and sections. Multi-turn dialogue must continuously track the project identifier bound to the current session to prevent confusion between cost, construction period, and other data across different projects. Second, documents contain long paragraphs of industry specifications and detailed lists. Prompt configurations must adapt to long-text context to avoid truncation of key information due to window limits. Additionally, data is dynamically updated as projects progress. Prompt configurations must support dynamic calling of newly uploaded project files to align with dynamically updated business requirements. Finally, fields include engineering-specific units. Multi-turn dialogue must accurately retain unit information to avoid mismatched value and unit expressions.
How to Set Configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500–1000 MB | Files uploaded for engineering consulting are mostly large cost lists, survey records, or specification collections, so this setting must accommodate large file upload requirements |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing large engineering documents takes significant time, so this setting prevents parsing processes from being interrupted by timeouts |
RECALL_TOP_N | Top 8–12 entries | Engineering consulting documents are mostly structured detailed lists. Retrieving too many entries increases context load, while retrieving too few misses critical details |
SIMILARITY_THRESHOLD | 0.75–0.85 | This setting balances accurate matching of professional terms with coverage of relevant project data, and prevents incorrect retrieval of irrelevant section content |
maxContext | 8000–12000 characters | Engineering consulting conversations must retain multi-turn context such as project numbers, sections, and cost details to avoid context overflow and loss of critical information |
WORKFLOW_FILE_UPLOAD_ENABLE | Enabled | Generating engineering consulting marketing content relies on local project files. Enabling file upload within workflows enables automated content creation |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test against local samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After configuring a file upload node in a workflow, calling the document parsing tool returns a timeout or format error. Cause:
UPLOAD_FILE_MAX_SIZEwas not adjusted to a value suitable for engineering documents, or the trigger path for file parsing was not correctly configured. - Symptom: After initiating a conversation via the API, the generated reply does not link to engineering specifications or project documents in the knowledge base. Cause:
kbIdswas not correctly passed in the request parameters to bind the corresponding engineering consulting knowledge base, orSIMILARITY_THRESHOLDwas set too high, resulting in failure to retrieve relevant content. - Symptom: An uncaught exception is thrown when running the dialogue component in a private deployment environment. Cause: The
UPLOAD_FILE_STORAGEparameter in the configuration file does not correctly point to the object storage service, or the MongoDB connection configuration has a format error.
How to Verify Successful Configuration
- Upload engineering documents matching the business scenario, check that parsing progress completes without errors, and verify that the upload size configuration covers the maximum file size required by the business.
- Initiate a conversation containing multi-turn business information, check that all key conversation content is retained in the context, and verify that the context window configuration adapts to conversation length requirements.
- Call the API to initiate a conversation linked to the knowledge base, check that returned results include professional content from the knowledge base, and verify that retrieval-related configurations meet business matching requirements.
- View deployment logs to confirm that the parsing timeout configuration does not trigger exceptions, and that storage and database connection statuses are normal.
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.