What data for this category includes
Documents related to service inquiries for basic telecommunications operations come from offline service center work orders, online customer service inquiry records, official business handling guides, tariff disclosure documents, fault repair logs, and other sources. Update frequency: Real-time inquiry records update synchronously when users submit them; business handling guides and tariff documents are updated quarterly in line with industry policy adjustments. Document structures include structured work orders (with fields such as work order number, user contact information, problem category, and processing status), semi-structured Q&A conversation text, and long-text business operation manuals. Field units include yuan/month, GB, minutes, and other business-specific units.
What constraints do these characteristics impose on document parsing and chunking?
Service inquiry documents for basic telecommunications operations mix structured fields and unstructured text, so different processing logic must be applied for different document types. Real-time updated inquiry records require parsing processes with low latency to avoid delays in subsequent inquiry responses. Long-text business manuals often contain overly long paragraphs; unreasonable chunking rules will damage semantic integrity and reduce retrieval accuracy. Bulk work order data has a large volume, so the file size and timeout duration for single-batch parsing must be limited to prevent abnormal task interruptions.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to long-text descriptions and structured work orders for basic telecommunications services, balancing semantic integrity and retrieval accuracy |
chunkSplitter | Split by paragraph + heading | Inquiry documents include business headings, step-by-step instructions, and Q&A pairs; splitting by paragraph preserves independent semantic units |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Prevents timeout interruptions during parsing of large files when processing multiple documents in bulk |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates bulk inquiry documents and business manuals uploaded in a single batch, preventing large files from being blocked during upload |
chunkSettingMode | Manual configuration | For scenarios with mixed structured work orders and unstructured manuals, custom chunk rules better align with business requirements |
Three common configuration mistakes
- No parsing response after uploading a file via dialog box, with no error logs in the backend. The
UPLOAD_FILE_MAX_SIZEparameter was not adjusted, so files exceeding the limit are silently blocked by the system and cannot enter the parsing process. - Bulk document upload interrupts mid-process, and parsing cannot resume after restarting the container. The
PARSE_FILE_TIMEOUT_SECONDSsetting is too short; large business manuals fail to complete parsing before the timeout is triggered, causing task termination. - Model responses do not reference uploaded document content. The
chunkSplitterwas set to fixed character splitting, which breaks the semantic coherence of business steps, leading to failure to match relevant chunks during retrieval.
How to verify correct configuration
- Upload a single business manual not exceeding 100 MB, and check that parsing completes normally with no timeout or upload failure prompts.
- Upload a bulk work order Excel file, and verify that parsed chunks retain core business fields such as work order number and problem type.
- Randomly select a segment of parsed chunks, and confirm that adjacent chunks are not abruptly truncated and align with the logical structure of the business document.
- Check the FastGPT v4.17.0 system logs to confirm there are no error records for file upload blocking or parsing timeout.
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.