What the Data for This Category Looks Like
This category covers the entire production process of liquid milk, yogurt, milk powder and dairy ingredients. Daily documents include raw milk acceptance records, standardized ingredient lists, pasteurization or UHT heat treatment records, CIP cleaning records, filling records, sample retention and microbial inspection reports. Data comes from raw milk testing equipment, MES systems, homogenization and heat treatment equipment, online temperature and flow monitoring devices, CIP systems, and LIMS laboratory management systems. Data updates are generated per milk tank, per batch, or in real time. Document fields include raw milk antibiotic and physicochemical indicators, heat treatment time and temperature parameters, filling environment parameters, and other metrics, with clear unit identifiers.
What Constraints These Characteristics Impose on the Multi-turn Dialogue and Prompt Engineering Workflow
Real-time or batch-updated data requires multi-turn dialogue to bind the context of the current production batch. This prevents mixing document information across batches. Specialized physicochemical and process parameter fields require prompts to limit retrieval scope to dairy processing-specific documents. This avoids introducing unrelated industry terms. Severe error consequences require multi-turn dialogue to verify key steps in sequence. First confirm raw milk acceptance indicators, then verify heat treatment parameters, and finally cross-check filling and cleaning records. Heterogeneous data sources from multiple systems require prompts to explicitly specify document types generated by corresponding systems. This ensures data matching accuracy.
How to Set Up the Configuration
The following configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 characters | Adapts to the total character size of full-process documents for a single dairy processing batch, to avoid truncating key process parameters |
| Dialogue turn limit | First 5 turns | Limits the retention scope of context, ensuring each dialogue round only associates information from the current production batch |
| Variable binding | Bind the batch number field in variables | Automatically associates exclusive documents for the current production batch, to avoid mixing data across batches |
| Message history management | Automatically clean expired messages | Reduces context redundancy and improves dialogue response speed |
| Context filtering rules | Filter by batch tags bound to chatId | Only loads document fragments corresponding to the target milk tank or batch, narrowing the retrieval scope |
| Prompt template configuration | Limit retrieval to dairy processing technical documents | Ensures dialogue only uses exclusive business data for this category |
Three Common Mistakes
- Phenomenon: The knowledge base returns truncated content, with only partial process parameter data provided. Cause: Maximum context length is not limited, and loading redundant documents across batches causes content truncation.
- Phenomenon: A 500 error is returned when importing documents. Cause:
chatIdis not correctly configured to associate with the document library of the current production batch, so the system cannot match the document format of the corresponding data source. - Phenomenon: Multi-turn dialogue output includes raw milk acceptance data from multiple unrelated batches. Cause: The batch number field in
variablesis not bound, and the context does not filter document fragments from non-current batches.
How to Confirm the Configuration Is Correct
- Manually enter the batch number of the current production batch, initiate a dialogue, and check whether the returned document fragments only include records such as raw milk acceptance and heat treatment for this batch.
- View the dialogue history, confirm that expired
messageshave been automatically cleaned, and the context only retains the content of the current dialogue rounds. - Import dairy processing documents for a single batch, initiate a question related to the corresponding process, and confirm that the returned content has no redundant data across batches.
- Test multi-turn dialogue, ask about raw milk indicators, heat treatment parameters, and filling records in sequence, and confirm that each round of answers only associates with the corresponding link of the current batch.
The values provided are common starting points and should be measured against the reader's own samples.