What this category of data looks like
Data for policy and regulatory basis in the survey and design field comes from official public documents issued by the Ministry of Housing and Urban-Rural Development, housing and urban-rural construction authorities of all provinces and municipalities, and normative guidelines released by industry associations. Update frequency matches the release of new policies and revision of existing policies, with no fixed schedule. A single document typically includes fields such as policy document number, issuing authority, effective date, clause content, and applicable scenarios. Clauses are split by article and item hierarchy. Some documents include attachments such as engineering survey and design qualification standards and review key points.
What constraints do these characteristics impose on the multi-turn dialogue and prompt words link?
The long text and hierarchical structure of survey and design policy documents require retaining sufficient context in multi-turn dialogue to link previously mentioned policy clauses and document numbers. Differences in policy effective dates and applicable regions require prompt words to clearly define query scope, avoiding confusion between policies across time periods and regions. The clause splitting feature of a single policy requires accurate positioning of the specific clause hierarchy mentioned by the user during dialogue, preventing generalized search results. The authority of official policies requires retrieved content to strictly match original text expressions. Prompt words must clearly prohibit subjective rewriting of policy content.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
chatId | Bind to project-specific ID | Distinguish policy dialogue contexts for different survey and design projects, avoid cross-project information confusion |
messages | Retain the first 5 rounds of dialogue content | Balance context load and semantic coherence of multi-turn follow-up questions, adapt to progressive questioning in policy queries |
variables | Preset policy effective time and applicable region variables | Limit query scope, avoid confusion between policies across time periods and regions |
| Single recall limit | Top 10 entries | Survey and design policy documents have many clauses per document. Too many recalled entries will exceed the context window. Too few will fail to cover relevant clauses |
| Context window length | 8000–12000 token | Store multi-turn dialogue history and recalled policy clause content, adapt to long-text policy documents |
| Retrieved content display format | Include document number and clause number | Match the document hierarchy structure of survey and design policies, facilitate users to verify specific locations in original policy text |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common mistakes
- Phenomenon: After adjusting the single recall limit to 2000 or 3000, the large model’s generated response does not include any policy citations. Users can view the recalled policy paragraphs in the backend. Cause: Failing to explicitly require binding recalled content with responses in prompt words, or the context window exceeding its carrying capacity truncates recalled content.
- Phenomenon: Retrieved policy paragraphs include internal ID fields, which the system sends to the large model together. Cause: Failing to filter non-essential fields in prompt words, or retaining paragraph IDs during knowledge base chunking.
- Phenomenon: Dialogue boxes cannot display attachment images from policy documents. Cause: Failing to configure the hosting path for knowledge base image resources, or image links lack public network access permissions.
How to confirm the configuration is complete
- Launch a multi-turn dialogue, consecutively ask about different clauses of the same policy. Check if the context retains previously mentioned policy document numbers and clauses.
- Adjust the single recall limit to 15 entries. Check if the large model’s response includes the corresponding number of policy citations.
- Check the retrieved content displayed in the dialogue interface. Confirm that only policy document numbers, clause numbers and original text content appear, with no extra fields.
- Enter a policy query outside the preset effective time range. Check if search results match the limited scope.
Note: The configuration values listed here are common starting points. Adjust them based on your own specific samples and use cases.
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.