What This Type of Data Looks Like
Power grid enterprise policy and regulatory basis data mainly comes from industry policy documents released by the National Energy Administration and provincial energy regulatory agencies, as well as internal operational, safety, and bidding and tendering system documents released by power grid enterprises. The update rhythm follows adjustments to national energy policies or revisions to internal systems, with no fixed cycle. Most documents have a chapter-based structure, including fields such as document number, issuing unit, effective date, and clause content. Clauses are marked with "Article X" or "Chapter X". There is no unified unit field, only identifying content such as clause numbers and chapter serial numbers.
Constraints Imposed on Document Parsing and Chunking
The chapter-based structure of policy documents requires that chunking must not break the association between clauses and chapters. Split content by chapter or paragraph, and avoid chunking across chapters or clauses. Metadata such as document numbers and effective dates in documents must be retained alongside chunked content, so the parsing process must support metadata extraction. Large system compilation documents have considerable length, so chunk length must be controlled reasonably to avoid overly long single chunks negatively impacting retrieval performance. Policy clauses have strong mutual relevance, so chunking must retain adjacent clause context to ensure logical completeness during Q&A.
Recommended Configurations
These configurations apply to the document parsing and chunking feature of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of single clauses or related clauses in power grid policy documents, retains context information required for Q&A |
chunkSplitter | Split by chapter and paragraph | Aligns with the chapter-structured format of policy documents, avoids splitting content across chapters or clauses |
customPdfParse | Enable metadata extraction mode | Extracts key metadata such as document numbers, release date, and effective date from policy documents to assist Q&A matching |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing and chunking time required for large system compilation documents, prevents timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets the upload requirements for large power grid system compilation documents, prevents blocking due to oversized files |
chunkSettingMode | Manual configuration mode | Allows adjustment of chunking parameters for different types of policy documents (industry policies, internal systems) |
Three Common Misconfigurations
- Split-related errors appear after document parsing, and the parsed result contains no valid content. Cause: The
chunkSplitterparameter is not configured correctly, and a splitting rule unsuitable for chapter-structured documents is used, making it impossible to recognize the paragraph and chapter structure of policy documents. - Timeout errors occur when uploading large policy compilation documents. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default duration is insufficient to complete the parsing and chunking process for large documents. - The enhanced file parsing function fails after upgrading to FastGPT v4.9.0. Cause: The adaptation mode of
customPdfParseis not enabled, or an outdated version of the parsing plugin is incorrectly called, making it impossible to correctly extract metadata and structure from policy documents.
How to Verify Correct Configuration
- Upload a single power grid industry policy document, review the parsed metadata list to confirm that information such as document number and release date is included, verifying that the
customPdfParseconfiguration takes effect. - Adjust the
chunkSizeparameter to different ranges, upload the same policy document, and compare the character length of chunked results to confirm that the chunking rules match the set values. - Upload a large system compilation document that does not exceed the size set by
UPLOAD_FILE_MAX_SIZE, check that the parsing process duration falls within the range set byPARSE_FILE_TIMEOUT_SECONDS, with no timeout errors. - Test two types of documents: internal systems and industry policies, confirm that
chunkSplittercorrectly splits content by chapter, with no cross-chapter chunking.
The values listed 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.