What this category of data looks like
Data sources for environmental monitoring marketing-related content include structured files exported from on-site monitoring equipment, industry compliance documents, and summary documents of monitoring results for marketing scenarios. There are two update cycles: device raw data updates follow collection cycles, while marketing summary documents update per project cycle. Document structures include structured tables, embedded line and bar charts, and text descriptions. Fields include monitoring point identifiers, collection times, pollutant concentrations, noise values, and more. Units vary by monitoring item, such as μg/m³, dB(A), and other standard units.
How these characteristics create constraints for document parsing and chunking
The table structure of structured device data requires retaining the binding relationship between column fields and values during parsing, to avoid field misalignment after parsing. Mixed charts and text require the parsing service to simultaneously extract chart titles, axis labels, and corresponding data, to avoid losing data association after chunking. Long text paragraphs in marketing summary documents require chunking based on semantic logic, instead of hard truncation by character count, which breaks the association between monitoring periods and compliance status. The presence of multi-unit fields requires retaining the binding between units and corresponding values during parsing, to avoid confusion between concentration units of different pollutants during retrieval.
How to Configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
parse_table_enable | Enabled | Environmental monitoring documents contain large numbers of structured monitoring data tables. Enabling this option fully extracts the binding relationship between fields and corresponding values, preventing data misalignment after parsing. |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Environmental monitoring summary reports usually contain multiple rounds of monitoring data and embedded charts, leading to long parsing times. This value range covers the parsing needs of most conventional documents, and adapts to the timeout configuration logic of FastGPT 4.8.20-fix2. |
chunk_size | 800–1200 characters | The semantic blocks of environmental monitoring documents include monitoring periods, point information, and corresponding data. This value range balances retrieval accuracy and context completeness. |
chunk_overlap | 100–150 characters | Core information such as monitoring points and periods often spans multiple chunks. This overlap length retains necessary context and avoids semantic fragmentation. |
UPLOAD_FILE_MAX_SIZE | 500 MB | Large multi-round monitoring summary reports may contain multiple device export files. This value adapts to the document size requirements of most marketing scenarios. |
custom_parse_service_url | Calibrated via actual testing | Some customized environmental monitoring marketing document formats cannot be recognized by the default parsing service. A custom parsing service must be configured to adapt to exclusive formats. |
The parameter values provided on this page are common starting points for configuration setup. 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 Configuration Mistakes
- Phenomenon: Uploading an environmental monitoring document returns a parsing failure with status code 413. Cause: The
UPLOAD_FILE_MAX_SIZEparameter is not correctly configured, and the file size exceeds the platform's default limit. - Phenomenon: Calling a custom parsing service returns a timeout error after exceeding the preset wait time. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient for large summary document parsing. - Phenomenon: Search results show content where monitoring points do not match their corresponding concentration units. Cause: The
parse_table_enableparameter is not enabled, so the parsing process fails to retain the binding relationship between table fields and units, leading to data misalignment after chunking.
How to Verify Correct Configuration
- Upload a typical environmental monitoring device export file, and check if the parsed text fully retains all fields and their corresponding values.
- Access the custom parsing service configuration interface, and confirm the correctness of the configured address. Local testing tools can validate interface connectivity.
- Generate chunk preview content, and check the semantic integrity of the chunks to ensure no core information fragmentation occurs.
- Upload a marketing summary document containing embedded charts, and verify that the parsing result extracts both chart titles and related descriptive text.
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.