What the data for this category looks like
Water treatment research data sources include real-time water quality monitoring station data, water plant operation logs, industry technical standard documents, patent literature, operation manuals, and project feasibility study reports. Update rhythms vary significantly: real-time monitoring data updates per minute, industry standards and patent literature iterate quarterly or annually, and project documents only update during project cycles. Document structures include structured tables, long technical descriptions, equipment operation records with parameters, and professional measurement items such as pH value, turbidity NTU, COD mg/L, and flow rate m³/h.
What constraints do these characteristics impose on the document parsing and chunking link
Multi-source heterogeneous document types and update rhythms require the parsing workflow to adapt to both short-cycle real-time logs and long-cycle large reports. Structured tables with unit-bearing values and identification fields must retain complete field association relationships to avoid losing business meaning after splitting. The presence of professional terms and complex charts requires parsers to have precise format recognition capabilities to prevent incorrect disassembly of professional content. High-frequency updated real-time data also requires the parsing workflow to support incremental processing, avoiding repeated parsing of historical data.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
minerU_enable | Enable via checkbox | Adapt to parsing needs for complex tables, professional charts, and formulas in water treatment documents, replacing basic PDF parsing capabilities |
parse_chunk_size | 800–1200 characters | Water treatment documents include long technical descriptions and numerical tables with units. This range balances context completeness and retrieval accuracy |
parse_overlap_ratio | 10%–15% | Prevent loss of logical connections between adjacent sections when long technical paragraphs are split, adapting to the continuous recording characteristics of operation logs |
PARSE_TABLE_VECTORIZE | Enable | Water treatment documents require water quality indicator and chemical dosage tables to retain field and unit associations, avoiding table content being scattered into meaningless text |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Complete reports for large water treatment projects may include multi-page charts and data. This duration covers the full parsing process |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Adapt to batch uploads of historical monitoring data sets and large project documents |
The parameter values provided on this page are conventional recommendations used to determine the starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common configuration mistakes
- Enabling
minerU_enablevia the interface causes parsing failure and returns a 504 timeout status code. Cause: The locally deployed minerU container does not expose the corresponding port, or FastGPT does not configure the minerU API access address. - Water quality indicator table fields are empty in the parsed document. Cause: The
PARSE_TABLE_VECTORIZEconfiguration is not enabled, and the basic parser scatters table content into fragmented text. - Duplicate long paragraphs appear in post-chunking search results. Cause:
parse_overlap_ratiois set too high, leading to excessive overlap between adjacent chunks and generating redundant search results.
How to confirm correct configuration
- Execute a curl command to access the local minerU API port and confirm that a normal response is returned.
- Upload a PDF test document containing a water quality table and verify that the parsed result retains complete field and unit information.
- Check the logs of the knowledge base parsing task to confirm that parsing time does not exceed the configured
PARSE_FILE_TIMEOUT_SECONDSthreshold. - Search for professional terms in the test document and confirm that chunked content can be accurately recalled without obvious logical 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.