What the data for this category looks like
Data sources for heating marketing content mainly include official marketing materials from heating operation enterprises, regional heating notices, payment guides, equipment maintenance manuals, and similar materials. Update rhythm fluctuates with heating cycles. Stock materials are updated in bulk 1 to 2 months before the heating season. New documents are generated in real time for temporary adjustments such as temperature changes or payment channel updates. Most documents are a mix of structured and semi-structured formats. Headers include enterprise logos and document topics. The main body is split into paragraphs by heating region, supply period, and charging standards. Fields include heating area (unit: square meters), heating duration (unit: hours/day), payment amount (unit: yuan), indoor temperature standard (unit: degrees Celsius), plus attached information such as repair hotlines and payment QR codes.
What constraints do these characteristics impose on the "document parsing and chunking" link?
The mixed structure of heating marketing documents requires parsing to distinguish main body text from attached information. This prevents associated text from repair hotlines or payment QR codes from being mixed into general content chunks. The document structure split by region requires chunking to retain regional context association. This stops content across heating regions from being split into the same chunk, which would prevent users from matching corresponding content when querying heating information for a specific community. Frequently updated temporary documents require the parsing process to have low latency. This avoids delays in material synchronization caused by parsing timeouts. Fields with clear units require chunking to retain the binding relationship between units and values. This prevents units from separating from values after parsing, which affects the accuracy of subsequent question answering.
How to set the configurations
| Configuration Item | Recommended Value Range | Rationale for This Setting |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 30–60 seconds | Heating marketing documents are mostly short materials, so no long parsing wait time is needed. This prevents temporary updated notices from failing to sync due to timeout |
chunk_size | 800–1200 characters | Heating documents are split by region. Each chunk must cover complete regional heating instructions, to avoid excessive splitting that causes context loss |
UPLOAD_FILE_MAX_SIZE | 10 MB | Heating marketing documents are mostly in PDF or Word format. Single materials are usually small in size. Limiting excessive size avoids invalid resource occupation |
chunk_overlap | 100–150 characters | Retain cross-chunk association of regional content, to prevent context breaks in chunks split by region |
custom_parse_service_enabled | Yes | Some heating documents contain heating notices in exclusive formats. Custom parsing service must be enabled to adapt to non-standard formats |
model_max_context | 512–1024 characters | Match the context window of the specified model, to avoid chunks exceeding the model's processing limit |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After uploading a heating marketing document, a
413 Request Entity Too Largeerror is returned, and the interface shows file upload failed. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted. The default parameter limits file upload size, and some heating marketing PDFs contain multiple regional announcement images, so the file size exceeds the default threshold. - Phenomenon: Regional association information is lost after parsing and chunking. No matching results appear when querying heating content for a specific community. Cause: The
chunk_overlapparameter was not set. Chunking did not retain regional context association, causing cross-regional chunks to fail to associate corresponding content. - Phenomenon: Timeout occurs when calling the custom parsing service, and the interface shows parsing failed. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not modified. The default timeout period is too short, and the custom parsing of heating documents requires processing complex region-split formats, so parsing time exceeds the default threshold.
How to Confirm the Configuration is Set Correctly
- Upload a typical heating marketing document, view the parsed chunk list, and confirm each chunk contains complete regional heating instructions and corresponding unit information.
- View system operation logs, confirm that the custom parsing service call status is normal, with no timeout-related errors.
- Upload heating marketing documents of different sizes, confirm that the upload process is not blocked, and the parsing process starts and completes normally.
- Adjust chunk-related configuration parameters, re-upload the document, and confirm that the parsed chunks conform to the configured value rules.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.