What Data for This Category Looks Like
Business data sources for real estate registration scenarios include real estate registration information systems, cadastral survey databases, housing transaction online signing systems, tax systems, and electronic certificate repositories. The update frequency is daily. Daily processed documents include registration applications, ownership certificates, survey results, tax payment vouchers, real estate ownership certificates, and registers. Core fields include real estate location, ownership number, right holder information, area data, and restriction status. A single file may include a combination of multiple document types, and the data structure includes both structured forms and unstructured text.
What Constraints Do These Characteristics Impose on the Multi-turn Dialogue and Prompt Engineering Link
Multi-source data sources require the dialogue system to support real-time cross-system data comparison, ensuring verified ownership information reflects the latest daily status. Mixed processing of multiple document types requires prompts to adapt to each document’s format and field requirements, preventing confusion between ownership certificates and tax payment vouchers. Single files with multiple documents require multi-turn dialogue to track the full user supplementary material process, avoiding context loss. High-risk ownership verification requires the dialogue system to strictly match data fields, reducing incorrect recall rates. Daily updated data requires the dialogue link to support real-time pulling of the latest cadastral and transaction data, ensuring review result timeliness.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context | Previous 8000 tokens | Adapt to the splicing requirements of multiple types of real estate registration documents |
| Single Search Limit | Top 10 entries | Cover ownership and transaction data entries associated with multi-source systems |
| Similarity Threshold | 0.75–0.85 | Match accuracy to distinguish ownership documents from irrelevant materials |
| Question Optimization | Enabled, calibrated based on actual testing | Adapt spoken questions about declaration materials to standard queries |
chatId | Bound to real estate registration business serial number | Associate full-process dialogue records for file review |
messages | Retain last 20 turns of dialogue | Track multi-turn communication trajectories for supplementary materials |
variables | Preset ownership type, location variables | Automatically populate business context |
Three Common Misconfigurations
- Phenomenon: Word documents over 10M take more than 30 seconds to parse. Cause: No reasonable chunk length configured for structured real estate registration documents, excessively long single blocks cause parsing process blocking.
- Phenomenon: Large numbers of separator
|characters appear in dialogue output. Cause: No explicit requirement to hide intermediate thought processes in the prompt, resulting in system debug information being output. - Phenomenon: Historical materials for the corresponding file cannot be associated during multi-turn dialogue. Cause:
chatIdis not bound to the real estate registration business serial number, causing session context to be disconnected from the file review process.
How to Confirm Successful Configuration
- Upload a single 10M+ Word registration document, verify that parsing time meets business expectations.
- Initiate a multi-turn dialogue requesting supplementary materials, check that the business serial number bound to
chatIdis displayed synchronously in the session record. - Input a spoken declaration question, confirm that the system automatically converts it to a standard ownership verification query.
- Adjust the similarity threshold, verify that recall results only include relevant documents such as ownership certificates and survey results.
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.