What this category of data looks like
Commercial real estate investment research data mainly comes from lease ledgers, monthly operation reports, business district survey documents, public facility maintenance records, and property fee collection records. Data update frequency varies significantly by document type: leases are updated when signed, operation reports are updated monthly or quarterly, and business district survey data is synchronized quarterly. Document structures include structured tables and long-text analysis reports. Some documents contain multimedia content such as embedded floor plans and maintenance site photos. Core fields include property ID, rental area (unit: square meters), rental unit price (unit: yuan per square meter per month), and maintenance cycle, among others.
What constraints do these characteristics impose on the "document parsing and chunking" link
The coexistence of structured ledgers and long-text reports for commercial real estate requires parsing processes to balance field integrity and semantic coherence. Embedded multimedia such as floor plans and on-site photos requires synchronous extraction of associated information for large model correlation analysis. Format differences across data sources are significant, including PDF reports, Yuque shared documents, and Excel ledgers, so parsing logic must adapt to multiple formats. Some documents are long business district analysis reports; fixed-length chunking easily breaks chapter semantics, so chunking rules need to be adjusted based on document structure. Additionally, Yuque shared links commonly used within enterprises as data sources require support for parsing publicly shared links.
How to set the configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Commercial real estate documents are mostly long reports or business district analyses, which take longer to parse per file |
chunk_size | 800–1200 characters | Balances field integrity for structured ledgers and semantic coherence for long-text reports, avoiding splits that disrupt business logic |
chunk_overlap | 50–100 characters | Preserves contextual connections across chunks, such as preceding and following explanations for rental adjustments |
ENABLE_TABLE_PARSE | Enabled | Commercial real estate documents contain large amounts of structured rental ledgers and maintenance lists; table parsing preserves field correspondences |
EXTRACT_IMAGE_CONTENT | Enabled | Extracts embedded paths and descriptive text for embedded floor plans and maintenance photos, enabling correlation analysis by large models |
ALLOWED_PARSE_URL_DOMAINS | *.yuque.com, enterprise self-built knowledge base domains | Adapts to Yuque shared documents and internal enterprise knowledge base links commonly used in commercial real estate |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test against your own samples before finalizing.
Three common mistakes
- Issue: Parsing a publicly shared Yuque commercial real estate document returns a parsing failure prompt. Cause: The Yuque domain was not added to the allowed parsing whitelist, or the link does not have public access permissions.
- Issue: Parsed documents do not include embedded floor plans or maintenance site photos, so large models cannot access image-associated information. Cause: Image content extraction configuration was not enabled, or the parsing process did not scan embedded paths and descriptive text for embedded images.
- Issue: After uploading a PDF-format rental ledger report, table fields are misaligned and chunks lose core business data. Cause: Structured table parsing function was not enabled, or chunk length was set too small, causing splits that disrupt the complete semantics of the table.
How to confirm configurations are set correctly
- Upload a test commercial real estate PDF rental ledger, check if the parsed markdown document retains complete table fields and values.
- Upload a commercial real estate research report containing embedded floor plans, check if the parsing result includes image embedded paths or descriptive text.
- Paste a publicly shared Yuque commercial real estate document link, verify that the parsing task completes normally without error prompts.
- Adjust chunking parameters, check that chunk results cover complete business logic with no semantic breaks.
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.