What Data for This Category Looks Like
Residential development investment research data primarily comes from local natural resources department land transfer announcements, housing and urban-rural development department construction progress filing documents, real estate enterprises’ public monthly operation reports, publicly available industry research reports, and pre-sale permit announcements. Update cycles vary significantly: land transfer information is updated monthly, construction progress filings are submitted monthly, pre-sale permits are released in real time as approvals are processed, and industry research reports are updated weekly or monthly. Documents include structured tables and unstructured text. Fields cover land area, floor area ratio, cumulative investment amount, salable unit count, and more. Units include square meters, ten thousand yuan, yuan per square meter, and similar. Some documents include multi-page attachments and nested tables.
How These Data Characteristics Impact Citation Traceability
The characteristics of residential development investment research data create multiple constraints for the citation traceability process. Mixed structured and unstructured data from multiple sources requires traceability information to clearly distinguish data source types. For example, structured land transfer data must be linked to announcement numbers and issuing authorities. Unstructured research reports must specify specific paragraph and page numbers. Significant differences in update cycles across data types—land transfer information updated monthly, pre-sale permits released in real time—require traceability to display data collection or release times. This avoids citing outdated content. Document structures with nested tables and multi-page attachments require traceability to pinpoint specific table rows or attachment page numbers. Only labeling the document name is insufficient. The presence of multiple units also requires displaying corresponding units in traceability information. This ensures clear data unit and definition alignment.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
RECALL_LIMIT | Top 8 results | Residential development investment research data mostly consists of structured tables and long text. 8 recall results cover core land, construction, and pre-sale data |
SIMILARITY_THRESHOLD | 0.72–0.78 | Residential development data has strong field correlation. This range filters low-relevance redundant data while retaining core investment research information |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Some multi-page filing documents for residential development have large file sizes. 120 seconds ensures complete parsing of nested tables and attachments |
CHUNK_LENGTH | 1000–1200 characters | Residential development documents often contain long paragraphs of construction analysis and research report content. This chunk length preserves complete business logic |
CITATION_SOURCE_FIELDS | file_name, publish_time, paragraph_page_number/table_row_number | Matches the multi-source, multi-structure characteristics of residential development data to ensure complete traceability information |
VECTOR_MODEL_TOGGLE | Configure based on actual deployment environment | Different vector models have varying encoding effects for structured data. Adjust based on the deployed vector model type |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by document format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Citation results only display the document name, without data release times or specific paragraph locations. Cause: The
Citation Source Display Fieldconfiguration was not set, so traceability information only retains the basic file name. This fails to meet timeliness and precise positioning needs for investment research scenarios. - Issue: After calling a MySQL database via Function CALL, the large model output cannot be linked to original database text fragments. Cause: The original text returned by the database query was not passed as a temporary knowledge base fragment, and corresponding source metadata was not configured. This prevents traceability binding.
- Issue: The knowledge base search citation upper limit cannot be adjusted after local deployment. Cause: The
RECALL_LIMITdeployment configuration parameter was not modified, or a custom upper limit value was not specified in the startup script. The system uses the default citation count limit.
How to Confirm Configuration Is Complete
- Upload a residential development land transfer announcement document, trigger knowledge base recall, and check if returned citation information includes file name, publish time, and specific paragraph positioning.
- Test Function CALL to a local MySQL database, check if large model output includes original text fragments from database queries and source identifiers.
- Access the knowledge base configuration page, confirm that configuration values such as
SIMILARITY_THRESHOLDandCHUNK_LENGTHmatch the current deployment environment. - Review system operation logs to confirm no abnormal errors in vector model calls and that configurations have taken effect.
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.