Reference only; verify against the target FastGPT release and deployment documentation.
What this type of data looks like
Engineering consulting supervision data mainly comes from supervision logs, on-site spot supervision records, material inspection application forms, progress payment application forms, and acceptance reports. Data updates follow project progress rhythms. Daily inspection documents are updated daily, while acceptance documents are updated when acceptance milestones occur. Single documents often have a mixed structure. They include standardized fields such as supervision unit, project number, and material specification, as well as unstructured on-site descriptions and rectification opinions. Field units include common engineering units such as square meters, tons, and workdays.
What constraints do these characteristics impose on the document parsing and chunking step?
The mixed structure of engineering consulting supervision documents requires prioritizing retention of the binding relationship between standardized fields and their corresponding business content during chunking. This avoids splitting linked information between material specifications and acceptance results. Specialized engineering terms appear at high density. Chunking must ensure the integrity of paragraphs containing these terms, to prevent fragmentation of professional expressions. Document update rhythms vary widely. Daily batch-uploaded inspection documents and single completion reports over 10,000 words require different chunking logic. For fields that bind specialized units to numerical values, avoid splitting the unit and its corresponding numerical value into different chunks during chunking.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the mixed structure of engineering documents, retains the integrity of professional terms and business-related content, avoids semantic fragmentation caused by too short chunks, and reduced retrieval accuracy caused by too long chunks. |
chunkSplitter | Split by paragraph + line break | Adapts to the mixed layout of standardized fields and unstructured descriptions in supervision documents, retains the integrity of individual business records. |
customPdfParse | Enable structured field extraction mode | Targets the feature of many standardized fields in engineering documents, accurately extracts binding information such as material specifications and acceptance results, and avoids parsing confusion. |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Adapts to the parsing duration of single completion report documents, prevents upload failures caused by parsing timeouts for large files. |
chunkSettingMode | Manual configuration mode | Allows adjustment of chunking parameters for different types of supervision documents such as inspection logs and acceptance reports, to adapt to diverse document structures. |
Three common configuration errors
- Phenomenon: When retrieving, the main content and auxiliary data within a chunk cannot be recalled according to business priority. Cause: No weight rules within chunks are set for the structured fields of engineering documents. The system defaults to allocating recall priority based on text proportion, causing auxiliary data to be recalled before key acceptance information.
- Phenomenon: Documents generated using custom splitting logic locally cannot be retrieved normally after being uploaded to the platform. Cause: The
chunkSizeparameter is not unified with the input length requirements of the server-side vector model. The chunk length exceeds the model's adaptation range, resulting in embedding failure. - Phenomenon: Unrendered Markdown formatting content appears in context references. Cause: The document format retention switch is not enabled during parsing, causing Markdown tags within chunks to not be correctly identified and displayed as raw text directly.
How to confirm the configuration is correctly set
- Upload a typical supervision log document, check the chunk preview interface, and confirm that a single inspection record is not split into different chunks.
- Compare the locally split chunk content with the parsed chunks from the platform, and confirm that structured fields and corresponding numerical values are not split.
- Trigger a document parsing task, check that there are no timeout errors in the parsing log, and confirm that the configuration adapts to the current uploaded document size.
- Generate context references, check whether the format display conforms to the typesetting requirements of business documents, and confirm that format-related configurations are correctly set.
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.