What the Data for This Category Looks Like
The data for this category comes from engineering orders, sand, gravel, cement admixture testing, moisture content measurement, mixing plant control systems, and laboratories. Daily documents include mix proportion notices, batch opening inspection records, production and transport orders, raw material inspection records, test block ledgers, and strength reports. Data updates follow the rhythm of single-batch raw materials, each vehicle production task, and daily laboratory testing. Each document includes structured fields such as raw material parameters, mix proportion values, mixing parameters, transport timeliness, test block strength, and corresponding testing units.
Constraints Imposed by These Characteristics on Multi-Turn Dialogue and Prompt Engineering
Data updates occur frequently and with fine granularity. Multi-turn dialogue must support real-time synchronization of the latest information such as moisture content and order changes, to avoid calling outdated mix proportion data. There are many document types with large structural differences. Prompts must clearly distinguish retrieval rules for three scenarios: raw material inspection, production scheduling, and quality traceability. Each document contains multiple sets of numerical parameters. Multi-turn dialogue must retain context associations to avoid repeatedly asking for confirmed project numbers or raw material batches. Test block strength data must be archived by age. The dialogue flow must support filtering historical records by time range.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
| Maximum Search Limit | Top 6 entries | The core parameters of a single production document do not exceed 5 sets, and the top 6 entries can cover complete retrieval needs |
| Overlap Length | 150-200 characters | The spacing between the title and parameter section of a mix proportion notice is approximately 120 characters, and overlapping can prevent parameter breakage after segmentation |
variables | Include fixed variables for project number, raw material batch, and pouring location | Multi-turn dialogue must quickly associate exclusive parameters for the current task |
messages Context Window | First 8 turns of dialogue | The decision-making process for ready-mixed concrete production usually does not exceed 7 key steps, and the first 8 turns can cover the complete context |
| Maximum Context | 3000-4000 tokens | A single complete production ledger is approximately 2500 characters, and 3000-4000 tokens can accommodate 3 to 4 core documents |
| Query Optimization | Enabled | Spoken questions from on-site scheduling personnel often contain vague expressions, and optimization can improve retrieval accuracy |
Three Common Misconfigurations
- The phenomenon is a 422 status code returned when calling the AI dialogue module. The cause is that required project parameters in
variablesare not properly configured, resulting in missing associated fields in the retrieval request. - The phenomenon is scattered retrieval results after long document segmentation. The cause is that when using heading levels as separators, the segmentation logic of mix proportion notices is not matched, resulting in a single segment containing cross-category parameters.
- The phenomenon is that the new conversation pop-up window cannot be closed. The cause is that the pop-up window trigger logic in the front-end initialization code was not modified, causing the FastGPT v4.17.0 private deployment version to load this component by default.
How to Verify Proper Configuration
- Initiate a query involving raw material moisture content correction, and check whether the returned results include the latest parameters corresponding to the current task.
- Initiate multiple consecutive queries, and check whether the
chatIdremains consistent, the context is correctly retained, and no repeated asking of confirmed information occurs. - Upload a complete mix proportion notice, and check whether the retrieval results cover all core mix proportion and testing parameters.
- Trigger the new conversation flow, and check that no unconfigured pop-up window components appear.
The values provided here are common starting points and should be evaluated against the reader's own samples.