What the data for this category looks like
This category’s data mainly originates from the territorial spatial basic information platform, natural resource survey and monitoring data, population and economic statistics, and remote sensing images. It is updated annually. Commonly processed documents include territorial spatial overall plans, detailed plans, special plans, planning implementation evaluation reports, and public opinion summaries. These documents usually contain fields such as spatial boundaries, constraint indicators, and implementation progress, with units mostly in formats related to hectares, population counts, and project codes.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
Data for this category comes from scattered sources and has a large volume, mostly combining structured spatial data and unstructured documents. The annual update requirement means dialogue contexts must be linked to planning data from the same year. In multi-turn dialogue, the messages field must be used to manage historical contexts, ensuring that each round of questions is associated with previous planning data, while also distinguishing different types of planning documents to avoid mixing up indicators across documents. In addition, public opinion summaries and special plans have significant content differences, so the dialogue flow must guide users to clarify the document type corresponding to the current Q&A. The variables parameter should be used to pass planning type and annual restriction conditions, to prevent calling expired or irrelevant territorial spatial data.
How to configure the settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
| Maximum Context | 8000–12000 characters | Adapts to the total length of multiple territorial spatial planning documents, avoiding truncation of key constraint indicators |
| Single Search Limit | Top 8 entries | Covers core content of multiple types of documents including special plans and implementation evaluation reports, balancing recall efficiency and accuracy |
| Timeout | 600 seconds | Prevents request timeouts caused by recall of multi-source spatial data |
chatId Storage | Persistent storage | Ensures that session context is not lost during multi-turn dialogue, linking multiple rounds of policy Q&A under the same scenario |
variables Parameter Binding | Pass planning type and annual restrictions | Allows prompts to accurately limit the document scope and time cycle of Q&A |
| Chunk Length | 1000–1500 characters | Adapts to the paragraph structure of territorial spatial planning documents, avoiding splitting key constraint indicator entries |
Three Common Misconfigurations
- Chat history disappears after refreshing the conversation page, and the interface displays a new conversation. Cause: The
chatIdpersistent storage configuration is not enabled, and the session context is not bound to the user session. - The AI prompt indicates that no files have been uploaded, but planning documents have been bound in the system prompt. Cause: The document binding path in the system prompt is configured incorrectly, or the document is not associated with the current knowledge base.
- Cross-year planning data mixing occurs during multi-turn dialogue. Cause: The time range of the data is not limited in the prompt, and expired territorial spatial basic information platform data is recalled.
How to Confirm Proper Configuration
- Initiate a question containing spatial planning terminology, and check whether the returned results are associated with the corresponding type of planning documents.
- Refresh the conversation page, confirm that the session record corresponding to
chatIdhas not been cleared, and the previous conversation content is still visible. - Adjust the time range of the question, verify whether the AI can accurately recall planning implementation evaluation data from the corresponding year.
- Upload a new special planning document, confirm that the system can correctly identify its document type and include it in the Q&A scope.
The values provided are common starting points and should be measured against the reader's own samples.
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.