What the data for this category looks like
Vehicle marketing content data primarily comes from official marketing material libraries of auto finance brands, dealer promotion documents, vehicle parameter announcements, and offline activity scripts. Update schedules align with new vehicle launches, model updates, and quarterly marketing plans, with frequency concentrated at key points in the vehicle lifecycle. Document structures fall into two categories:
- Structured vehicle parameter tables, which include fields such as vehicle ID, configuration code, cruising range, and selling price, with corresponding units of none, none, kilometers, and ten thousand yuan respectively.
- Unstructured marketing scripts, activity processes, and scenario-based promotion copy. Some documents include reference configuration association fields.
What constraints do these characteristics impose on the document parsing and chunking link
The field and unit binding feature of structured parameter tables requires that complete combinations of individual parameters cannot be split during parsing and chunking. Otherwise, parameter information in auto finance marketing content will become invalid. The existence of multi-vehicle batch documents requires that chunking logic aggregate relevant content by vehicle model, to avoid parameter confusion across vehicles and affect precise matching during auto finance customer acquisition. The high-frequency update feature of materials requires that the parsing process support incremental updates or rapid re-parsing, to ensure the timeliness of auto finance marketing content. Inconsistent document formats submitted by different dealers requires that the parsing logic has format compatibility, to avoid field extraction failures caused by format differences and affect the reuse of marketing materials.
How to Configure
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
maxChunkSize | 800–1200 characters | Vehicle marketing documents include structured parameter tables and long marketing scripts. This range balances parameter integrity and script coherence, and avoids splitting complete parameter groups for a single vehicle model |
chunkOverlap | 100–150 characters | Cross-chunk parameters and scripts need to retain contextual association, to avoid losing prefixed vehicle identifiers during recall |
parseStructuredTable | Enabled | A large number of configuration parameter tables exist in vehicle marketing documents. Enabling this option retains the association between fields and units, and avoids losing corresponding relationships after parameter splitting |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large full-series vehicle marketing document packages takes a long time. This duration covers the complete parsing process |
parseReferenceField | Enabled | Some marketing documents include vehicle reference configuration fields. Enabling this option can fully extract associated information |
UPLOAD_PARSE_MAX_SIZE | 2000 MB | Supports batch uploading of full-series vehicle marketing document packages, adapting to batch processing of multi-vehicle materials for the vehicle category |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Phenomenon: The
referencesfield is not extracted in the parsing result, and the corresponding field is empty. Cause: TheparseReferenceFieldconfiguration item is not enabled. This configuration item is not adapted to the reference configuration association fields in vehicle marketing documents by default. - Phenomenon: Chunk length does not fall within the preset 800–1200 character range, with excessive splitting or merging. Cause: The chunking parameters in the source code are modified directly but not mapped to the parsing module files of FastGPT 4.9 version, resulting in custom configurations not taking effect.
- Phenomenon: After uploading a vehicle configuration parameter table document, parameters and units are separated in the parsing result, and complete parameter blocks cannot be formed. Cause: The
parseStructuredTableconfiguration item is not enabled, resulting in structured tables being split line by line as plain text.
How to Confirm the Configuration Is Set Correctly
- Upload a vehicle marketing document containing a structured parameter table, review the parsed chunk results, and confirm each parameter block fully retains the association between field names, values, and units.
- Access the parsing settings page of the knowledge base, check the values of configuration items such as chunk length and overlapping characters, and confirm they match the preset plan and have been saved and take effect.
- Upload a test document containing reference configuration association fields, check whether the corresponding associated information is fully extracted in the parsing result, and verify the reference field parsing configuration is enabled.
- Upload a single large full-series vehicle marketing document, wait for the parsing to complete, confirm no timeout errors occur, and verify the rationality of the timeout configuration.
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.