What the data for this category looks like
Data sources for residential development research reports include publicly available land transaction and construction data from housing authorities, regular reports of listed real estate companies, research reports from third-party industry consulting institutions, and land transaction platform announcements. Update cycles adjust based on project development milestones, financial report disclosure timelines, and industry trends, with no fixed, uniform cycle. Most documents are stored as PDF files, containing structured tables, written discussions, and visual charts. Some are scanned document formats. Fields cover project floor area, building area, floor area ratio, floor land price, construction and installation costs, sales cycle, and more. Units include professional measurement standards such as square meters, ten thousand yuan, and ratios.
What constraints do these characteristics impose on the "document parsing and chunking" link
The data sources for residential development research reports are diverse, including editable PDFs and scanned documents. This creates compatibility constraints for format parsing. Document length varies widely, from short project briefs of a few pages to lengthy annual industry analysis reports spanning dozens of pages. This demands adaptability for chunk granularity. Fields include professional engineering and financial parameters. Logical connections between fields must be preserved to avoid breaking business logic integrity. Some documents contain multiple layers of nested tables and visual charts. Accurate extraction of text descriptions and data associated with charts is required to prevent information fragmentation. Additionally, some documents contain irrelevant header and footer markings. These must be filtered during the parsing stage before chunking.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_OCR_ENABLE | Enabled | Some residential development research reports use scanned document formats. OCR technology is required to extract text content |
PARSE_TABLE_MODE | Nested table parsing mode | Residential development research reports contain multi-layer nested tables for cost composition and sales rate statistics. The table hierarchy must be preserved |
CHUNK_MAX_SIZE | 800–1200 characters | Research reports contain professional business logic paragraphs. This length range preserves complete single business discussions or parameter combinations |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Long documents contain large numbers of charts and nested tables. Parsing takes significant time. This duration covers most long document parsing requirements |
FILTER_HEADER_FOOTER | Enabled | Research report documents often contain irrelevant content such as project numbers, page numbers, and institutional watermarks. These must be filtered before chunking |
CHUNK_OVERLAP_SIZE | 100–150 characters | Prevents professional business paragraphs from being split apart. Preserves contextual logical relevance |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, 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
- Phenomenon: When parsing a single residential development research report, backend logs show that more entries than the currently uploaded file are loaded, or non-uploaded document content appears during subsequent retrieval. Cause: The
PARSE_SINGLE_DOC_MODEparameter is not enabled. The global document association parsing logic is enabled by default, causing historical documents to be loaded together. - Phenomenon: After uploading a research report with visual charts, OCR recognition results show Chinese garbled characters, or text and data associated with the charts are not extracted. Cause: The Chinese OCR language pack is not configured, or the
PARSE_OCR_ENABLEandPARSE_IMAGE_TEXT_ENABLEparameters are not enabled. - Phenomenon: Chunked document fragments split complete professional logic paragraphs, such as splitting a complete cost calculation formula and description into two sections. Cause: The
CHUNK_MAX_SIZEparameter value is set too small, and does not match the length of professional paragraphs in residential development research reports.
How to confirm correct configuration
- Upload a scanned version of a residential development research report. Check the OCR text integrity in the parsing results, and verify that Chinese content has no garbled characters.
- Upload a research report containing nested tables. Check if the parsed table structure retains hierarchical relationships, with no cell misalignment or content loss.
- Upload a document with headers and footers. Verify that the chunking results filter out preset irrelevant marking content.
- Adjust the
CHUNK_MAX_SIZEparameter, then upload a long document. Check that the chunked fragment lengths match the preset range, with no excessive splitting or overly long fragments.
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.