What this category of data looks like
Urban water utility policy and regulatory basis data primarily comes from official documents released by the Ministry of Housing and Urban-Rural Development, the Ministry of Water Resources, and water bureaus of various provinces and cities. These include industry specifications, water supply management measures, water conservation regulations, wastewater treatment standards, and similar documents. Update frequency varies based on new policy releases and industry standard revisions. Document structures typically include fields such as release document number, issuing authority, effective date, applicable scope, and specific clauses. Units referenced include MPa (water pressure standard), % (treatment rate), cubic meters per day (water supply volume), and others.
Constraints Imposed by These Characteristics for Multi-turn Dialogue and Prompt Engineering
Water utility policy documents contain numerous clauses and have regional differences. Multi-turn dialogue must retain context. This prevents loss of prior limiting information such as region or policy type during subsequent user questions. Long documents require splitting to balance completeness and retrieval accuracy. Splitting must avoid breaking the start-end correlation of critical clauses. Policy document numbers and effective dates are critical reference bases. Prompts must guide the model to clearly mark source information. This ensures response authority. Regional policy differences exist. Dialogue must explicitly set regional parameters. This avoids confusion between cross-regional policies.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Individual clauses in urban water utility policies typically fall between 500 and 1000 characters. Excessively long chunks introduce irrelevant content. Excessively short chunks damage the logical integrity of clauses. |
| Overlap Length | 100–150 characters | Ensures the start-end correlation of clauses in adjacent chunks is not broken. Prevents loss of context during retrieval. |
| Single Search Limit | Top 6 results | Relevant clauses for water utility policies typically concentrate in a small number of chunks. Too many results introduce irrelevant cross-regional or outdated policy content. |
| Maximum Context | 4000–6000 tokens | Adapts to content retained during multi-turn dialogue, including user questions, prior context, and retrieved policy chunks. |
| Variable Binding | Calibrated based on actual testing | Used to pass limiting information such as region or policy document number. Adapts to query requirements for different scenarios. |
| Context Passing | Enable messages parameter | Ensures multi-turn dialogue context is correctly transmitted. Prevents loss of prior information during subsequent user questions. |
Three Common Mistakes
- Scenario: The knowledge base management page shows all policy documents have been uploaded, but the model returns no matching results during dialogue. Cause: The application was not bound to the target knowledge base during knowledge base migration, or the recall permission for that knowledge base was not enabled.
- Scenario: After uploading an XLSX file containing water utility policy tables, the AI cannot generate responses based on the table content. Cause: Text extraction configuration for XLSX files was not enabled, or chunk configuration does not adapt to the multi-column structure of tables. This leads to incomplete extracted text.
- Scenario: During multi-turn dialogue, when asking "What are the water pressure standards for Guangzhou", the model does not correctly use Guangzhou as the regional parameter. Cause: The
variablesparameter was not correctly bound in dialogue configuration, or the prompt did not explicitly require extracting limiting information from user questions.
How to Verify Proper Configuration
- Upload a single urban water utility policy document. Submit a targeted question. Check if the model's returned content matches the document's clauses.
- Submit two consecutive questions. First, ask about water supply policies for a specific region. Second, ask for the effective date of that policy. Check if the model associates the regional information from the first question.
- Check parameter transmission for the dialogue interface. Confirm that the
chatIdandmessagesparameters correctly carry multi-turn dialogue context information. - Upload an XLSX format policy file. Check if the extracted text fully includes policy clauses within the table.
The values provided here are common starting points. They should be evaluated against samples from the actual deployment scenario.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.