What Does the Data for This Category Look Like?
Auto parts marketing-related data mainly comes from official manufacturer product manuals, regional marketing promotion PPTs, OEM adaptation lists, and industry compliance documents. Updates are performed in bulk tied to new product launch cycles. Routine marketing materials are updated monthly. Most document structures include fixed numbered fields, adapted vehicle parameters, physical specifications, and marketing script paragraphs. Most fields use engineering units such as millimeters, newton meters, and kilograms. Some documents embed vehicle adaptation tables and compliance reminder pages.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
Densely distributed fixed numbered and specification parameter fields risk splitting critical product identifiers during chunking. Adapted vehicle parameters often appear as tables or long paragraphs. Contextual connections must be preserved to avoid splitting cross-page adaptation information. Engineering units are unified but scattered. The binding relationship between units and corresponding parameters must be retained during chunking. Some documents include embedded compliance reminder pages. Non-marketing content must be identified and either excluded or chunked separately to prevent irrelevant information from interfering with marketing content retrieval.
How to Set Configuration Values
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Auto parts marketing documents are mostly combinations of product manuals and marketing PPTs. Single file size usually does not exceed 800 MB. Buffer space is reserved to accommodate large documents |
PARSE_PDF_USE_MARKER | Enabled | Most documents contain vehicle adaptation tables and engineering parameters. Marker retains table structure and text hierarchy, improving parsing completeness |
max_chunk_size | 800–1200 characters | Documents contain long specification parameter paragraphs and marketing scripts. This range balances contextual integrity and retrieval accuracy |
custom_separator | Newline + 【Product Number】 + Newline | Most documents use product numbers as paragraph starting identifiers, enabling accurate splitting of single-product marketing content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large product manuals include multi-page tables and long text. Sufficient parsing time is required to complete full content extraction |
chunk_overlap | 50–80 characters | Retains contextual information for cross-chunk adapted vehicle parameters, avoiding loss of associated information during retrieval |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Upload failure error occurs when uploading PDF documents larger than 3 MB. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration item is not adjusted to the appropriate threshold. The default configuration cannot accommodate large product manuals. - Symptom: After configuring a custom separator, chunking still merges multiple paragraphs or splits single paragraphs. Cause: The separator matching rule is not adjusted based on the document's product number identifier, or the chunk length setting exceeds the applicable range, causing abnormal automatic merging logic.
- Symptom: After enabling Marker for PDF parsing, the error
{"detail":"Error message"}is returned. Cause: Marker's environment variable dependencies are not correctly configured, or the deployment version is incompatible with the current FastGPT version. For example, when using v4.8.17, supporting dependency packages are not updated.
How to Verify Successful Configuration
- Upload a single typical auto parts marketing document, view the parsed chunk list, and verify that each chunk contains complete product numbers and corresponding parameters.
- Adjust the chunk length configuration item, upload the same document and compare the chunk results, confirming that the chunk length meets business requirements.
- Test uploading documents larger than the default size, confirming that the upload and parsing processes have no errors.
- Enable the Marker parsing function, upload a document containing tables, confirming that the parsed result retains the table structure and text hierarchy.
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.