What Data for This Category Looks Like
Data related to business handling for oil and gas exploration and development comes primarily from documents such as drilling logs, exploration assessment reports, trial production approval forms, and geological structure drawings. Data update rhythm follows project phase progress. Phase documents for a single exploration project are updated weekly or per task milestone. Daily business approval documents are updated in real time along with the handling process. Document structures include fixed-format professional tables, long technical paragraphs, embedded CAD drawing PDFs, and Excel data sheets. Some documents have cross-page continuous content tied to professional units.
What Constraints These Characteristics Impose on the Document Parsing and Chunking Link
Complex tables and cross-page content in oil and gas exploration and development documents require that the parsing process does not damage structured data integrity. Failure to do this will make it impossible to accurately locate approval nodes and technical parameters in business process guidance. The strong binding between professional units and fields requires that context associations be retained during chunking. This prevents loss of the corresponding relationship between parameters and scenarios after splitting. The existence of large single documents requires the parsing process to adapt to larger file sizes and longer processing durations. This prevents parsing interruptions or timeouts. The precise retrieval requirement of business process guidance requires that chunking granularity match the retrieval scope of professional terms. Granularity that is too fine will cause redundancy. Granularity that is too coarse will lead to insufficient matching accuracy.
How to Configure the Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 1000–1500 characters | Adapts to the long paragraphs and professional term lengths of oil and gas documents, avoiding splitting of key technical parameters and business nodes |
chunkSplitter | Split by paragraph + title | Matches the hierarchical structure of exploration documents, retaining context associations for fields such as well numbers and pressure values |
customPdfParse | Enabled | Processes complex embedded tables and cross-page continuous content, preventing loss of complete data from drilling logs during parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the upload requirements of single large exploration reports or compressed package files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Meets the time requirements for long document parsing, avoiding mid-process interruptions |
chunkSettingMode | Manual configuration | Adjusts chunking rules for the professional structure of oil and gas documents, matching the precise retrieval needs of business processes |
Three Common Errors
- PDF parsing fails suddenly. The console returns the
parse failedstatus code. The cause is that thecustomPdfParseconfiguration is not enabled. This prevents recognition of complex embedded tables and cross-page content in oil and gas documents. - Multiple uploaded documents cannot be distinguished in parsing results. All chunked content in the knowledge base has no source identifier. The cause is that document metadata automatic extraction is not enabled, and the file name is not used as the chunk association identifier.
- Matching business process content cannot be found during searches. Retrieval results are empty or return irrelevant paragraphs. The cause is that
chunkSizeis set too large. This splits professional terms and approval nodes into different chunks, making precise retrieval impossible.
How to Verify Correct Configuration
- Upload a standard drilling log PDF. Check the parsed chunked content to confirm that tables and professional units are fully retained.
- Upload multiple different types of exploration documents. Check whether each chunk in the knowledge base has the corresponding file name metadata.
- Trigger a long document parsing task. Confirm that the parsing duration does not exceed the value set by
PARSE_FILE_TIMEOUT_SECONDS, and no timeout errors occur. - Retrieve specific professional terms in the documents. Confirm that the returned chunked content contains the term and is correctly associated with the corresponding business process node.
The values provided here are common starting points, and should be evaluated 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.