What the data for this category looks like
Marketing-related data for commercial properties primarily comes from self-held investment promotion brochures, managed project ledgers, merchant lease contracts, event planning proposals, and foot traffic statistics reports. The data update cadence adjusts based on business nodes: investment promotion information is updated monthly, merchant move-in information is synced in real time with contract changes, and event information is updated quarterly or per event cycle. Document structures are primarily structured entries, including fields such as unit number, floor area, rental unit price, business type, and full name of settled merchants. Some documents include image-text combined event promotional materials.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Structured fields require multi-turn dialogue to accurately match unique identifiers such as unit numbers and contract numbers, to avoid mixing information across different merchants or units. Frequently updated merchant and investment promotion data require the knowledge base sync frequency to align with business rhythms, and prompts must explicitly specify that the model prioritize calling the latest managed data. Mixed storage of multiple document types requires prompts to distinguish knowledge base retrieval rules for different scenarios: for example, prioritize investment promotion brochures and event plans when generating marketing content, and prioritize ledgers and lease contracts when handling customer acquisition inquiries. Additionally, image-text combined materials require the dialogue flow to support recognition and display of image content.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Commercial property data includes long text content such as unit area and rental descriptions. This value retains sufficient context to avoid dialogue gaps |
recall_top_k | Top 6–8 entries | There are many entries for investment promotion and merchant information. Too many retrieved results will exceed the context window, while too few may miss high-quality matching results |
similarity_threshold | 0.72–0.80 | Precise fields such as unit numbers and contract numbers require high matching accuracy. This range filters irrelevant retrieval results while retaining valid matching content |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Large investment promotion brochure PDFs contain multi-page image-text content, which takes a long time to parse. This value prevents parsing tasks from being interrupted mid-process |
enable_rag_citation | Enabled | Marketing scenarios require clear display of knowledge base source information. When enabled, the model can output attached citation identifiers for knowledge base fragments |
UPLOAD_FILE_MAX_SIZE | 10 MB | Event promotional images are typically 2–5 MB per file. This value supports upload of conventional image-text promotional materials |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and testing on local samples is recommended before finalizing settings.
Three common misconfigurations
- Issue: After adjusting the
maxContextparameter to above 2000, the model output does not cite any knowledge base fragments. Cause: Theenable_rag_citationparameter is not enabled, or the total length of retrieved knowledge base fragments exceeds the model's context window limit. - Issue: Generated marketing content includes internal identifiers from knowledge base fragments (such as unit numbers, contract numbers). Cause: The prompt does not explicitly require hiding non-marketing internal identifiers, or retrieval rules do not filter irrelevant entries.
- Issue: Event promotional images cannot be displayed in the dialogue interface. Cause: Knowledge base image parsing rules are not configured, or the
UPLOAD_FILE_MAX_SIZEsetting is smaller than the image file size.
How to confirm configurations are properly set
- Initiate a simulated investment promotion inquiry to verify that the model output references unit information from the knowledge base and does not leak internal fields.
- Upload a test investment promotion brochure PDF, wait for parsing to complete, and check that the parsed text fields include necessary information such as unit numbers and rental unit prices.
- Adjust the
maxContextparameter to different ranges to verify that the context coherence of the model output meets expectations. - Test multi-turn dialogue scenarios to verify that the model can distinguish output logic across different marketing scenarios such as investment promotion inquiries and event inquiries.
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.