Data Characteristics of This Category
Marketing-related data for commercial properties includes investment brochures, tenant management ledgers, commercial district activity notices, property fee collection guidelines, business format promotional copy, and financial promotional materials such as rent installment plans and investment and financing resources. Update frequency varies by content type:
- Tenant ledgers and investment information are updated quarterly
- Temporary commercial district activity notices are updated monthly or per the activity cycle
- Daily promotional copy is adjusted as needed
- Financial promotional materials are updated alongside product launches
Document structures include both structured fields (such as rental area, rent standard, business format classification, financing interest rate) and unstructured text. Field units use standard measurement units including square meters, yuan per square meter per month, and percentage. Some long documents contain multi-chapter marketing promotion content.
Constraints on Retrieval and Recall Workflows
The coexistence of structured fields and unstructured text requires the retrieval workflow to support both precise field matching and semantic recall. This avoids missed or incorrect recalls caused by relying solely on keyword matching. Specifically, financial-related fields such as interest rates and installment rules require strict matching of units and numerical values.
Frequently updated content requires a reasonable incremental synchronization mechanism to prevent knowledge base content from lagging behind actual business changes. Timely synchronization is especially critical for updates to financial-related products.
The multi-chapter structure of long documents requires retaining contextual association during segmented retrieval. This prevents damage to the complete semantics of marketing content caused by overly fragmented segmentation.
Standardized field units require unit matching logic in retrieval rules to prevent retrieval failures caused by inconsistent units.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8-12 | Commercial property marketing content covers multiple business formats and scenarios. Sufficient matching items support subsequent marketing plan generation, while avoiding excessive content that exceeds context window limits |
Similarity Threshold | 0.72-0.80 | Commercial property has many semantically similar consultation scenarios, such as investment consultation for different business formats. A threshold that is too low introduces irrelevant content, while a threshold that is too high misses valid matching items |
PARSE_SEGMENT_LENGTH | 800-1200 characters | Commercial property documents are mostly long texts with multiple sections. This segment length adapts to chapter structures, retains local semantic association, and avoids overly long single segments that reduce retrieval accuracy |
Increment Sync Interval | Every 4 hours | Frequently updated content such as tenant information and activity notices balances synchronization cost and timeliness. Too frequent synchronization occupies resources, while excessive delay harms marketing effectiveness |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large investment brochures and multi-page activity plans takes significant time. This duration covers the parsing needs of most commercial property documents |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis, and testing on local samples is recommended before finalizing configuration values.
Three Common Configuration Mistakes
- Phenomenon: Text content extraction component returns empty fields. Cause: The structured field extraction switch was not enabled in version 4.8.10. Structured data such as commercial property tenant ledgers and rent standards is not correctly parsed, making field keyword matching impossible during retrieval.
- Phenomenon: Chaotic recall results for semantically similar questions. Cause: The
similarity thresholdis set below 0.70, leading to incorrect recall of content that is semantically similar but targets different business formats. No precise filtering rules for business format fields are configured in some cases. - Phenomenon: Images in uploaded docx documents do not display in retrieval results. Cause: The document image extraction configuration is not enabled, or image metadata is lost during format conversion. This results in the knowledge base not indexing image content.
How to Verify Configuration Correctness
- Upload a commercial property document containing both structured fields and unstructured content. Check that parsed segment lengths fall within the preset range, and confirm no overly long or short segments exist.
- Input two semantically similar marketing consultation questions. Verify the number and matching degree of recall results, and adjust the
similarity thresholdto the range that meets business requirements. - Trigger an incremental synchronization task. Check the synchronization log for newly added business content, and confirm the synchronization interval configuration is active.
- Test the text extraction component by inputting a document containing fields such as rental area and rent. Confirm that corresponding fields are extracted with no empty returns.
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.