What the data for this category looks like
Data related to service inquiries and responses for power generation equipment manufacturing comes primarily from equipment operation and maintenance manuals, quarterly quality inspection reports, bidding technical documents, and offline archived service inquiry responses. Updates to this data trigger when new equipment is commissioned, quarterly inspections are completed, or regulatory policies are adjusted, with no fixed cycle. Document structures include long continuous chapter text, structured tabular data, and inquiry responses formatted as question-and-answer pairs. Fields include equipment model, operating parameters (units: revolutions per minute, degrees Celsius), quality inspection indicators, inquiry questions, and corresponding response content.
What constraints do these characteristics impose during document parsing and chunking?
Long chapter equipment operation and maintenance manuals contain continuous operation steps and parameter descriptions. When splitting content, context association must be preserved to avoid separating equipment models and their corresponding operating requirements into different chunks. Structured quality inspection reports include headers and multi-row, multi-column data. When splitting, the overall table structure must be preserved to avoid information loss from separating headers and data rows. Inquiry responses in question-and-answer pair format must retain the binding between questions and responses. Without this binding, corresponding responses cannot be matched during searches. Parsing large single documents takes significant time. Longer timeout and size limits must be adapted to avoid parsing interruptions.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of single segments from equipment manuals and inquiry responses, avoids splitting critical parameters and their context |
chunkSplitter | By chapter + semantic meaning | Adapts to the chapter structure of long documents, preserves context association for equipment models and operation steps |
customPdfParse | Enabled | Preserves the header and data rows of structured quality inspection tables, avoids breaking up table content |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to the maximum size of single equipment manuals and batch bidding documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses the time requirements for long document parsing, avoids interruptions when parsing large files |
chunkSettingMode | Manual configuration | Adjusts chunking rules for different document types (operation manuals, inquiry responses, quality inspection reports) to match business scenarios |
Three Common Configuration Mistakes
- Phenomenon: After multiple equipment documents with different models are uploaded, knowledge base search results mix content from different documents. Responses from a single document cannot be located. Cause: File-level chunk marking is not enabled, so chunked content from different documents lacks distinguishing identifiers.
- Phenomenon: After
chunkSizeis set to an excessively small value, knowledge base search tests fail to return complete equipment parameter responses. Cause: A complete segment containing equipment model, parameters, and operation requirements is split into multiple chunks, losing context association. - Phenomenon: Timeout errors with a 504 status code occur when parsing large quality inspection reports. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to a value suitable for large files, and the default timeout duration is insufficient.
How to Verify Proper Configuration
- A single equipment operation and maintenance manual is uploaded. The knowledge base chunk preview interface is accessed, and confirmation is made that chapter titles and their corresponding content are not split into different chunks.
- Multiple equipment documents with different models are uploaded. The chunk list is checked for identifying fields corresponding to each file.
- A search request containing specific equipment parameters is submitted, and confirmation is made that matching chunked content is returned.
- A single quality inspection report larger than 500 MB is uploaded, and confirmation is made that the parsing task does not experience timeout interruptions.
The values provided here are common starting points. They should be evaluated against specific samples in use.
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.