What this type of data looks like
Data for this category mainly comes from environmental monitoring systems, access control systems, UPS monitoring equipment, and video inspection tools. Daily generated documents include inspection reports, temperature and humidity logs, alarm logs, and duty logs. Fields typically include timestamps, unique device identifiers, numeric parameters such as temperature in ℃ and humidity in %RH, alarm levels, and fault codes. Most data updates occur on a daily or real-time basis. Each document has many entries arranged in chronological order. Some inspection reports include batch records for multiple devices.
What constraints these characteristics impose on document parsing and chunking
Real-time or daily updated data requires the document parsing process to have stable batch processing capabilities. This avoids data backlog caused by parsing timeouts. Multi-device batch records in inspection reports and time-sorted alarm logs need to be chunked via device grouping or time slicing. This ensures precise matching of corresponding device status information during retrieval. Numeric parameters with units require the parsing process to retain original unit identifiers. This prevents semantic confusion during subsequent retrieval. Some inspection documents with digital signatures may fail basic text extraction due to format encryption. This requires additional adaptation of non-standard PDF parsing logic.
How to configure settings
This adaptation applies to FastGPT v4.17.0. Complete the following configuration items as required:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category mostly include batch device records and numeric parameters. A chunk length of 800–1200 characters balances per-chunk information density and retrieval recall accuracy |
chunkSplitter | Split by paragraph + device identifier | Inspection reports and alarm logs are segmented by device identifier. This ensures status records for the same device are grouped into the same chunk |
customPdfParse | Enabled | Adapts inspection PDF documents with digital signatures or complex tables. Solves the issue where basic parsing cannot extract complete content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Batch inspection documents have large file sizes. A 600-second timeout setting prevents task interruptions caused by overly long parsing times |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports complete upload of single batch inspection logs or long-term alarm records. Meets processing requirements for daily archived documents |
chunkSettingMode | Manual configuration | Adjust chunking rules for different document types such as temperature and humidity logs and alarm logs. Meets parsing needs for specific scenarios |
Three common mistakes
- No parsed content is displayed after uploading an inspection PDF with a digital signature. The root cause is that the basic PDF parsing module cannot recognize encrypted signature fields, and custom parsing configuration is not enabled.
- The locally deployed document parsing tool functions normally, but a read failure error triggers when uploading a PDF to the FastGPT knowledge base. The root cause is that the required
AIPROXY_API_ENDPOINTandAIPROXY_API_TOKENenvironment variables for the App/Admin server are not correctly configured. This leads to service startup verification failure or dependent call exceptions. - Chunking results are disorganized after uploading a batch inspection report. Records for the same device are split across multiple chunks. The root cause is that the chunking rule is not bound to the device identifier field, and only splits content by fixed character length.
How to confirm the configuration is correct
- Check the environment variables of the App/Admin server. Confirm that
AIPROXY_API_ENDPOINT(the root address of the AI Proxy service, do not append paths such as/v1, not a single-model service address) and a non-emptyAIPROXY_API_TOKEN(AI Proxy administrator token, consistent with the AI Proxy server configuration, not an application API key or model vendor key) are configured. Ensure these variables are not repeatedly configured in workflow global variables, application API request headers, or the model management page. - Upload an inspection PDF with a complex table. Verify that the parsed text fully retains table fields and units, to confirm the
customPdfParseconfiguration takes effect. - Upload a long-term alarm log with a size under 1000 MB. Confirm that the parsing task completes within 600 seconds with no timeout errors.
- Adjust
chunkSizeto different ranges, then upload the same inspection report. Verify that chunking results change with the configuration, to confirm thechunkSettingModeset to manual configuration takes effect.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.