What the Data for This Category Looks Like
Residential development marketing content data primarily comes from project on-site materials, floor plan survey reports, pre-sale permit public documents, regional planning public notices, marketing collateral (brochures, posters, short video scripts), and customer consultation FAQs. Update cadence fluctuates with project milestones. Large volumes of complete materials are uploaded in bulk before project launch, then updated irregularly after launch to reflect adjusted filing prices, new activities, and policy changes. Documents include long-form brochures, short event notices, unit parameter documents with precise values, and more. Fields include project number, building number, unit area (unit: ㎡), filing unit price (unit: yuan/㎡), pre-sale permit number, location supporting facilities, and more. Some documents include unit floor plans and location supporting facility charts.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
- Fields with precise values require retrieval to support numeric matching and range filtering, to avoid recalling content unrelated to unit area or price.
- Long documents account for a large share of the total, so long text segmentation and chunked recall must be supported to avoid breaking parameter associations.
- Update cadence fluctuates widely. During concentrated uploads, task priority and breakpoint resume support are needed to prevent large material packages from consuming excessive system resources.
- When multiple document types are uploaded together, automatic categorization to corresponding knowledge bases by document type is required, to avoid mixing compliance documents and marketing copy which harms retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Residential development project materials are mostly long-form text, which takes longer to parse. Sufficient time must be reserved to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Full-project material packages have large file sizes, so large-capacity file upload support is required |
Chunk Length | 800–1200 characters | Residential development documents contain numerous associated parameters and descriptions. Too short segmentation breaks information associations, while too long segmentation reduces recall precision |
Recall Count | Top 8 | Marketing content needs to cover multiple dimensions including unit type, location, price, and more. A small number of recall results cannot meet complete marketing requirements |
Similarity Threshold | 0.72–0.85 | Balance precise recall of compliance content (such as pre-sale permit information) and relevance of marketing copy |
Knowledge Base Automatic Classification Rule | Classify by matching document tags | Different document types require dedicated knowledge bases to avoid mixed content during retrieval that harms accuracy |
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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: When uploading a unit type document containing a table, the knowledge base preview shows the complete table, but the table is not displayed in the final marketing content generated by retrieval recall. Cause: Table structured export configuration for document parsing was not enabled, only plain text content was extracted, and table formatting was not retained.
- Phenomenon: Passing file-id as the knowledge base collection ID when calling the retrieval interface, resulting in empty retrieval results or returning incorrect content. Cause: Confused the parameter definitions of file-id returned by file upload and knowledge base collection ID, and mixed the two types of identifiers.
- Phenomenon: When uploading a large project material package, small event notice documents wait in a long queue, and manual pause or adjustment of task priority is not possible. Cause: Upload task priority settings and manual pause functions were not enabled, and parsing tasks are executed in upload order by default.
How to Confirm Configuration Is Effective
- Upload a unit type document containing a table, check the consistency of table display in the knowledge base preview and retrieval results, to confirm that the table parsing configuration is effective.
- Upload documents of different types (brochures, event notices, compliance documents), check whether the documents are automatically categorized into corresponding knowledge bases, to confirm that the classification rules are effective.
- Upload two documents with large size differences, adjust the task priority, check the parsing execution order, to confirm that the priority configuration is effective.
- Call the retrieval interface, pass file-id and collection ID separately, check whether the returned results meet expectations, to confirm that the parameter distinction configuration is effective.
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.