What the data for this category looks like
This category’s data comes from toll system traffic records, customer service consultation tickets, road administration service guidelines, emergency response manuals, superior policy notification documents, and other sources. Update frequency varies by content type: daily consultation tickets sync in real time, policy documents update regularly per superior requirements, and emergency response manuals are revised as needed. Documents include structured fields such as traffic card number, toll station number, consultation type, and response template, plus unstructured paragraphs. Some files embed multimedia elements like toll receipts and road administration site photos. Field units include yuan, kilometers, hours, and others.
What constraints these characteristics impose on document parsing and chunking
Structured ticket data has multiple fixed columns. Chunking must avoid breaking field associations to prevent loss of contextual links during retrieval. Unstructured work documents and policy files are mostly long paragraphs. Chunk length must adapt to content density: avoid chunks that are too short, which causes semantic fragmentation, or too long, which reduces retrieval accuracy. Real-time updated ticket data must be synced to the knowledge base on a regular basis. The parsing link must control timeout duration to prevent task interruptions during batch processing. PDF documents with embedded multimedia require special parsing logic to avoid losing image-text associated information.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Expressway work consultation documents are mostly long paragraphs of policy explanations and ticket responses. This range preserves contextual integrity and avoids semantic fragmentation |
chunkSplitter | Paragraph + semantic splitting | Work documents contain semantic units such as fixed response templates and emergency procedures. This splitting method preserves the integrity of key information |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Parsing large Excel ticket files or multi-page emergency manual PDFs takes a long time. This duration prevents timeout interruptions during parsing |
UPLOAD_FILE_MAX_SIZE | 200 MB | Expressway operations require uploading bulk ticket CSVs and multi-page emergency manual PDFs. This configuration supports upload and parsing of larger files |
customPdfParse | Enabled | Some work documents contain PDF content with embedded toll receipts and road administration site photos. Enabling custom parsing preserves image-text associated information |
chunkSettingMode | Strict matching mode | Ensures retrieval only matches question-and-answer pair content in the knowledge base, avoiding irrelevant generated information |
Three Common Misconfigurations
- A connection failure error appears after deploying marker-pdf, with logs showing connection timeout. The cause is that the container port was not properly exposed after Docker deployment, or local access was not mapped to the container network.
- Attempting to import an Excel file to the knowledge base fails, and only two-column CSV data is supported. The cause is that custom table parsing configuration was not enabled. The default CSV parsing logic only recognizes two-column structured data.
- Stream-returned results include generated content outside the knowledge base, and preset response text is not strictly matched. The cause is that
chunkSettingModewas not configured as strict matching mode, and irrelevant context was mixed during chunking.
How to Verify Proper Configuration
- Upload a single-page PDF work guideline, and check if the chunk character count after parsing falls within the preset 800–1200 character range.
- Upload an Excel ticket file with multiple columns, and confirm that all original fields are retained in the parsed data, with no field loss or misalignment.
- Call the knowledge base interface for testing, and check if the returned results strictly match the preset question-and-answer pair response text in the knowledge base, with no additional generated content.
- View the platform parsing logs, and confirm there are no timeout errors or file upload block records, and parsing tasks can complete normally.
The values listed above 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.