What Does the Data for This Category Look Like
This category's data primarily comes from bid announcements on the National Public Resource Trading Platform, construction cost information released by provincial housing and urban-rural development departments, and monthly progress reports from project owners. There are two update cadences: bid market data updates in real time, cost index data updates monthly, and individual project revenue-related data updates weekly alongside construction progress. Most documents are in structured format, including fields such as project code, project category, construction area, total investment, current completed output, building material unit prices, equipment rental unit prices, and more. The unit for building material unit prices is yuan/ton, the unit for equipment rental unit prices is yuan/shift, and the unit for total investment and completed output is ten thousand yuan.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Real-time bid market data requires the dialogue system to support real-time data pulling, and cannot rely solely on static knowledge base content. Monthly updated cost indexes need to be synced to the knowledge base regularly, and prompts must explicitly specify using the latest version of index data. Individual project revenue-related data is updated weekly, so multi-turn dialogue must allow users to append latest progress data as context. Structured field formats require prompts to explicitly specify field mapping rules to avoid confusing project parameters across different infrastructure categories. Multi-field and multi-unit characteristics require the dialogue system to automatically match fields corresponding to the correct units when parsing user queries, to avoid unit matching errors.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Infrastructure project data has many fields, and multi-turn dialogue needs to retain project IDs, progress data and other information from multiple rounds of queries. A sufficient context window prevents loss of critical information |
knowledge_refresh_interval | 7 days | Individual project data is updated weekly, and monthly cost indexes need to be synced regularly. A 7-day interval balances data timeliness and synchronization overhead |
rag_recall_top_k | Top 6 entries | Infrastructure project data includes three core types of content: basic project information, cost data, and progress data. An appropriate number of recalls covers all core fields |
api_sync_timeout | 300 seconds | When pulling bid data in real time, some public platform interfaces have slow response times. 300 seconds covers most normal request durations |
vector_model | Calibrated via actual testing | Infrastructure project data is mostly structured fields, so a model that supports structured data indexing is required to avoid indexing progress exceptions |
prompt_template | Fixed template including project ID verification, unit matching rules, and context appending logic | Field mapping and unit rules must be explicitly specified to prevent the model from confusing project parameters across different infrastructure categories |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: After calling the HTTP orchestration interface, the configured output field content does not appear in the dialogue output, on version 4.6.9. Cause: The switch to write output back to the dialogue context was not enabled in the orchestration workflow, so the interface return data was not synced to the dialogue chain.
- Phenomenon: Vector indexing tasks remain in a waiting state with no progress updates. Cause: A vector model that supports structured data indexing was not selected, so multi-field structured data for infrastructure projects cannot be indexed.
- Phenomenon: Unit matching errors occur in dialogue, such as recognizing building material unit prices in yuan/ton as other units. Cause: The prompt template did not explicitly specify unit verification rules for each field, leading the model to confuse unit definitions for different parameters.
How to Verify Proper Configuration
- Initiate a single-turn query to verify that the dialogue system can return project-related data matching the data source fields, and check that the returned content matches the data source fields.
- Initiate two consecutive queries, append new progress data or cost information, and verify that the dialogue system retains the previous round's project context and generates results combined with the new data.
- View the knowledge base sync logs to verify that cost index data from the most recent sync cycle has been completed, and that the update time matches the configured interval requirements.
- Test the vector indexing task, check the indexing progress status, and verify that the task has no abnormal errors and can proceed normally.
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.