What the data for this category looks like
Property management marketing content targeting the finance, insurance, or wealth management sector comes primarily from community financial service promotion materials, property fee installment plans, community wealth management activity notices, owner insurance promotion brochures, and project on-site financial supporting documents. Update frequency aligns with financial activity cycles. Concentrated updates occur when new financial products launch, property fees are adjusted, or annual insurance promotions run. Routine maintenance follows a monthly cycle. Document structures fall into three categories: structured charging tables, long-text activity descriptions, and embedded product introduction images. Most fields include clear units, such as installment rate (%), property unit price (yuan/square meter·month), and financial annualized yield (%). Some documents contain nested activity process descriptions.
What constraints these characteristics impose on document parsing and chunking
Structured charging and rate tables require parsing logic to preserve the correspondence between fields and cells, to avoid losing data associations after splitting. Embedded product introduction images require synchronous text extraction. Without this step, complete financial marketing information cannot be delivered. Frequently updated financial activity documents need incremental parsing logic. This avoids wasting resources from repeated full parsing. If units for fields like annualized yield and installment rate are lost during splitting, subsequent Q&A will have ambiguity. Hard chunking of long-text activity plans and product descriptions breaks semantic coherence of content. Split content using natural paragraphs and titles instead. Document structures with multiple nested levels need sufficient parsing depth to cover full content.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Preserve correspondence between fields and cells for structured data such as property fee calculation tables and rate tables |
MAX_PARSE_CHUNK_SIZE | 800–1200 characters | Most property management financial marketing documents are long-text activity plans and product descriptions. This range preserves semantic integrity |
PARSE_IMAGE_OCR_ENABLE | Enabled | Extract text from embedded images such as floor plans and product introduction images in documents, and associate it with context |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single project marketing document packages usually contain multiple PDFs and image collections, adapting to large file upload requirements |
PARSE_SEGMENT_SPLITTER | By paragraph + title | Avoid hard chunking that destroys coherent content such as activity processes and charging rules |
MAX_PARSE_PARAGRAPH_DEPTH | 3–5 levels | Adapt to the document parsing depth requirements of version 4.9.10, cover nested activity process and product description levels, avoid content truncation |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: Some fields are empty after uploading a table dataset, and structured data such as property unit price and installment rate is missing from parsing results. Cause: The
PARSE_TABLE_ENABLEconfiguration is not enabled, and the default parsing logic does not preserve the correspondence between table cells and fields. - Issue: Embedded product introduction images and floor plans in PDFs are not parsed, only blank placeholders are displayed. Cause: The
PARSE_IMAGE_OCR_ENABLEconfiguration is not enabled, or the used parsing model does not support OCR extraction of images embedded in PDFs. - Issue: After exporting a knowledge base and importing it to a new server, the parsed chunks are inconsistent with those on the original server. Cause: The
MAX_PARSE_CHUNK_SIZEandPARSE_SEGMENT_SPLITTERparameters are not fixed, and the default configurations of the new environment differ from those of the original environment.
How to confirm configurations are set correctly
- Upload a single structured table document, check if the parsing result preserves the correspondence between the original table's fields and cells, and verify the
PARSE_TABLE_ENABLEconfiguration status. - Upload a PDF document containing embedded images, check if the parsing result includes text extracted from the images, and verify the
PARSE_IMAGE_OCR_ENABLEconfiguration status. - Upload a single long-text document, check if the chunking result is split by paragraphs and titles, and verify the
PARSE_SEGMENT_SPLITTERconfiguration item. - Upload a long document with multiple nested levels, check if the parsing result covers complete content, and verify the
MAX_PARSE_PARAGRAPH_DEPTHparameter configuration.
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.