What the data for this category looks like
The data for this category mainly comes from on-site construction logs, equipment operation and maintenance ledgers, well site survey reports, internal compliance documents, and employee training courseware. The data update rhythm varies significantly by business scenario: construction logs are updated per daily work shift, operation and maintenance ledgers are synchronized in real time with equipment operating status, and survey reports and compliance documents are updated during project cycles or annual revisions. Document structures include long-form narrative text, structured tables, and reports with charts. Most fields include operating time, equipment number, pressure value, temperature, and other metrics, with units uniformly using industry standards such as MPa, ℃, and hours.
What constraints these characteristics impose on document parsing and chunking
Long-form construction logs can reach tens of thousands of characters per document; direct chunking will break the contextual connection of the work process. Structured operation and maintenance ledgers include numerical fields with units, and the binding relationship between fields and units must be retained during chunking, otherwise the data semantics will be invalid. Real-time updated operation and maintenance data requires the parsing process to have low-latency adaptation capabilities. Mixed uploads of multiple types of documents require the parsing tool to support content extraction in different formats. In addition, some survey reports include professional charts and formulas, and the text annotations corresponding to the charts must be retained during parsing to avoid loss of key engineering information.
How to Configure the Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Ensures semantic integrity for long-form text and structured fields in oilfield engineering documents, avoiding context loss caused by individual chunks being too fragmented or overly long |
chunkSplitter | By paragraph + semantic boundary | Adapts to the splitting of construction log work steps, avoiding interruptions to complete operational process descriptions |
customPdfParse | Enable structured parsing mode | Adapts to the extraction of tables and chart annotations in survey reports, retaining the typesetting association of professional data |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Adapts to the complete parsing time of single long construction logs or large survey reports, avoiding parsing interruptions caused by oversized files |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the needs of large oilfield engineering survey reports and batch uploads of multiple logs, avoiding file upload interception |
chunkSettingMode | Custom mode | Adjust chunking parameters separately for different document types (logs, ledgers, reports) to meet multi-scenario adaptation requirements |
Three Common Misconfigurations
- Phenomenon: After uploading and parsing an operation and maintenance ledger document, the page cannot copy the ID of a single chunk, making it impossible to manually associate a custom index. Cause: The custom chunk ID display configuration item is not enabled, and the system hides chunk identifiers by default.
- Phenomenon: After custom-split document chunks are stored in the knowledge base, chunks with duplicate content are automatically deleted, resulting in disordered custom index order. Cause: The global duplicate chunk filtering rule is enabled by default, and this function is not disabled in the knowledge base configuration.
- Phenomenon: Table data in parsed well site survey reports is returned as plain text lines, and the corresponding relationship between columns and cells cannot be retained. Cause: The structured parsing mode of
customPdfParseis not enabled, and only basic text extraction logic is used.
How to Confirm the Configuration Is Correct
- Upload a construction log with more than 5000 characters per single document, view the parsed chunk list, and confirm that the chunk length falls within the preset
chunkSizerange. - Upload an operation and maintenance ledger containing structured tables, view the parsed content, and confirm that the column and cell relationships of the table are completely retained.
- Enter the knowledge base configuration page, and confirm that the status of the duplicate chunk filtering switch matches the custom chunking requirements.
- Upload a single large survey report, wait for the parsing to complete, and confirm that the parsing time does not exceed the preset
PARSE_FILE_TIMEOUT_SECONDSthreshold.
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 2026-09-28.