What data for this category looks like
Water treatment marketing data mainly comes from equipment technical manuals, completed project case documents, water quality test reports, industry compliance standards, and marketing script libraries. Data update rhythm adjusts with product iterations, project implementation progress, and standard revisions, with no fixed cycle. Documents are mostly a mix of structured and unstructured content. Structured documents include fields such as equipment model, treatment capacity, energy consumption, applicable scenarios, with units including m³/h, kW, mg/L, etc. Unstructured documents include project implementation details, customer feedback, and marketing script optimization suggestions and other content.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Structured parameter fields require precise matching of equipment models and application scenarios during multi-turn dialogue, to avoid parameter mix-up errors caused by fuzzy matching. Unstructured project case data has a large volume, so the number of documents recalled in a single retrieval must be limited to prevent context overload from interfering with core responses. Fields with different units such as treatment capacity and energy consumption require clear unit verification rules in the prompt to avoid parameter confusion. The update frequency of the marketing script library is not fixed, so a dynamic recall mechanism must be configured to ensure the latest compliant scripts are used in dialogue. At the same time, project case details must be recalled targetedly based on the specific scenario of the user's question, to improve the relevance of dialogue responses.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
ragRetrievalMode | always | Force knowledge base retrieval to trigger in all dialogues, to avoid some Q&A not calling documents due to the default mode |
maxContext | 8000–12000 characters | Water treatment documents contain multiple sets of parameters and scenario descriptions; this range balances information completeness and context redundancy |
relevanceThreshold | 0.72–0.80 | Water treatment parameters require precise matching. A threshold that is too low will recall irrelevant equipment models, while a threshold that is too high will miss documents for applicable scenarios |
topK | Top 4–6 entries | A single water treatment document contains multiple sets of parameters; too many recalled entries will cause context overload, and this number covers core reference information |
globalVariableStorage | Persistent storage | Global default variables such as compliance standard version numbers must be stored to avoid resetting variables with each dialogue |
retrievalTimeout | 300 seconds | Water treatment project case documents have a large volume; this timeout setting ensures complex retrieval tasks are completed |
The parameter values provided on this page are all conventional recommendations, used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Some dialogues do not trigger knowledge base retrieval, only returning generic responses. Cause:
ragRetrievalModeis not set toalways; the default mode only triggers retrieval when the question involves unknown content. - Phenomenon: Global default variables such as compliance standard versions are cleared during dialogue. Cause: Persistent storage for
globalVariableStorageis not enabled; by default, only single-turn dialogue temporary variables are stored. - Phenomenon: As the number of questions in the same dialogue window increases, knowledge base retrieval time becomes longer, and
504 Gateway Timeouterrors are triggered in some scenarios. Cause:conversationHistoryMaxLengthis not limited; excessive historical dialogue context occupies retrieval resources, leading to increased latency.
How to Confirm Configuration is Complete
- Initiate a question that clearly specifies a water treatment equipment model, check if the response references the corresponding parameters in the document, to confirm that the
ragRetrievalModeforced retrieval logic is effective. - Store the global default variables, restart the dialogue, verify that the variables are not cleared, to confirm that the persistent storage configuration is correct.
- Initiate multiple consecutive related questions, observe whether retrieval latency is stable, to confirm that the historical dialogue limit is effective.
- Adjust the parameter matching threshold, initiate multiple sets of questions, and check whether the relevance of recalled documents meets business requirements.
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.