What the data for this category looks like
Telecommunications engineering document data mainly comes from project approval documents, construction organization designs, bills of quantities, supervision weekly reports, completion acceptance reports, and similar materials. Data updates progress with project phases, and are produced stage-by-stage from project initiation to completion. Document structures include fixed-format structured tables, long-text process descriptions, and content with clear section and page number markers. Fields and units include project number, section name, material model, and engineering quantity (units such as meters, pieces, square meters, kilometers, etc.).
What constraints these characteristics impose on the document parsing and chunking link
Telecommunications engineering documents have a high proportion of structured tables. When parsing, row-column relationships and field units must be preserved, otherwise subsequent retrieval cannot match complete engineering data. Long-text process descriptions span multiple paragraphs and even pages. When chunking, context coherence must be maintained to avoid splitting process logic. Large completion documents have large file sizes and many pages. The parsing and chunking process must adapt to longer processing durations to prevent task interruptions. Document formats vary widely across different project phases. Parsing rules must be flexibly adjusted to avoid confusion between different versions of engineering data.
The following configurations apply to FastGPT v4.17.0.
How to Set the Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Telecommunications engineering documents include long paragraph process descriptions and structured tables. This range balances context coherence and retrieval accuracy |
chunkSplitter | Separate by paragraph + header and footer | Telecommunications engineering documents often include section and page number markers. Separating by paragraph preserves content integrity |
customPdfParse | Enable structured table parsing | Telecommunications engineering documents contain numerous bills of quantities tables. Structured parsing preserves field relationships |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large engineering documents have many pages. This duration covers the complete parsing process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supporting documents for telecommunications engineering completion drawings have large file sizes. This upper limit meets upload requirements |
chunkSettingMode | Manual configuration | Chunking parameters must be adjusted for different document types. Manual mode allows flexible adaptation |
Three Common Mistakes
- Phenomenon: After uploading engineering documents, the parsing node shows no task, and the status code returns 408. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The parsing duration of large documents exceeds the default threshold, causing the task to time out and terminate. - Phenomenon: Only partial row data is captured in the engineering quantity table in the parsed document. Cause: The table structured parsing mode of
customPdfParseis not enabled. The default text parsing cannot recognize the complete structure of cross-page tables. - Phenomenon: Fields and units are split in chunked content. For example, "100 meters of optical fiber" is split into two chunks: "100 meters" and "optical fiber". Cause: The
chunkSizesetting is too small, splitting complete fields with units into independent segments.
How to Confirm the Configuration is Correct
- Upload a standard telecommunications engineering construction plan document, and check whether the parsed content retains complete table structures and field relationships.
- Check the parsing task logs to confirm that no timeout errors occur, and the running duration meets expectations.
- Randomly sample chunked content to verify that engineering fields with units are not split.
- Adjust the
chunkSizeparameter, compare chunking results across different values, and confirm that context coherence meets requirements.
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.