What this category's data looks like
Property management-related research reports and operation and maintenance data come from daily project operation files, industry association public reports, and regulatory announcement documents from local housing and construction departments. Document update rhythms vary by type. Daily operation ledgers are updated weekly or monthly. Industry research reports are released quarterly or annually. Document structures are relatively standardized, with fixed chapter modules. Fields include property type, service area, maintenance cycle, charging standards, owner feedback, and more. Single documents have a wide range of content length.
What constraints do these characteristics impose on document parsing and chunking
Data sources are diverse, including structured operation tables and unstructured analysis paragraphs. Parsing functions must support both table extraction and long text splitting. Fields have clear business attributes. When chunking, cross-chapter associated information must be retained to avoid breaking business logic through splitting. Update frequencies vary greatly. Daily operation data is updated incrementally. Incremental parsing support is required to improve processing efficiency. Document content ranges widely. Parsing parameters must be adjusted adaptively to meet the parsing needs of documents of different sizes.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | true | Property management documents contain a large number of structured tables such as equipment maintenance and charging statistics. Enabling this parameter fully extracts table fields and content, preventing table content from being incorrectly split into scattered text. |
chunk_size | 800–1200 characters | Property management research reports include both long paragraphs of industry analysis and short entry-style operation records. This range balances the semantic integrity of long text and the retrieval accuracy of short entries. |
chunk_overlap | 100–150 characters | Some operation records are cross-chapter associated. Setting overlapping characters retains cross-block context, preventing key associated information from being split and broken. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large complex research reports have more content and take longer to parse. This duration covers the parsing needs of most documents, avoiding mid-parsing timeout interruptions. |
enable_incremental_parse | true | Daily operation documents are updated incrementally. Enabling incremental parsing only processes newly added or modified document content, improving overall processing efficiency. |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Annual research report files for large projects are large. This upper limit supports the upload and parsing of most property management documents. |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After uploading a property management-related PDF document, the frontend shows upload success but no corresponding chunked data appears in the knowledge base, and no error prompts are present in the backend logs. Cause: The
PARSE_TABLE_ENABLEparameter is not enabled. The operation tables in the document cannot be extracted, resulting in no valid content being generated for chunking after parsing. - Phenomenon: When batch parsing large property management research reports, the service process memory usage continues to rise beyond the server's available resources. Cause: No reasonable range is set for
chunk_size, and full table parsing is enabled at the same time. This causes individual chunk content to be too large, leading to a spike in memory usage. - Phenomenon: After uploading a document via the API, the knowledge base chunked content does not include key operation field information from the document. Cause:
PARSE_TABLE_ENABLEis not configured astrue, and structured fields are not correctly bound to chunked content. This results in structured data not being fully embedded into the chunks.
How to confirm the configuration is correct
- Upload a single small property management operation document, check the parsed chunked content, and confirm that table data is fully extracted as structured entries.
- Batch upload different types of property management documents, check the running logs of parsing tasks, and confirm that no unexpected parsing interruptions occur.
- Call the knowledge base chunk query interface, verify that the chunked content includes the core business fields from the document, with no key information lost.
- Upload incrementally updated operation documents, confirm that only newly added documents are parsed, and historical documents are not processed repeatedly.
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.