What the data for this category looks like
Marketing content data for the paper manufacturing category primarily comes from internal product manuals, customer inquiry records, promotional materials, and industry compliance documents of paper manufacturing enterprises partnered with financial institutions, as well as marketing promotion materials created by financial institutions for their paper manufacturing clients. Data updates have no fixed schedule, triggered by new product launches, packaging revisions, or environmental policy adjustments. Most documents are multi-page PDFs, containing professional parameters such as product model, grammage, dimensions, and burst strength, with units including g/㎡, mm, kPa. They also include application scenarios, delivery lead times, and certification numbers. Some marketing materials are available in multilingual versions, and large bulk document packages are used for customer acquisition campaigns targeting enterprise clients.
What constraints these characteristics impose on deployment and upgrade
The professional parameters and long-document features of the paper manufacturing category, combined with the customer acquisition and marketing needs of financial institutions, create multiple constraints for deployment and upgrade. Long PDF documents require longer parsing timeouts to prevent batch material upload failures caused by parsing interruptions. Fields and units of professional parameters must be extracted accurately, requiring custom field matching rules; otherwise, recall results will not meet the needs of financial institutions to accurately recommend products to paper manufacturing clients. Data updates have no fixed schedule, so on-demand incremental synchronization must be supported to avoid excessive server resource usage from full synchronization, which would affect the real-time performance of financial services. Additionally, sensitive content in compliance documents must have pre-configured filtering rules to ensure marketing content complies with financial industry regulatory requirements.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Paper manufacturing marketing documents are mostly long PDFs with over 100 pages, requiring extended parsing timeouts to prevent interruptions |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single product manuals or exhibition material packages have large file sizes, adapting to batch material upload requirements |
custom_extract_fields | Product model, grammage, delivery lead time, environmental certification | Matches core professional fields in paper manufacturing marketing documents, enabling accurate recall |
similarity_threshold | 0.75–0.85 | A higher threshold is needed for professional term matching to avoid irrelevant content being included in marketing content recall results |
sync_interval | 2:00 AM daily | Paper product updates have no fixed schedule, so on-demand incremental synchronization is used; scheduling during early morning hours reduces server load |
recall_top_k | Top 8 results | Marketing content needs to cover multiple scenario requirements, retaining sufficient recall results for subsequent filtering |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: The
docker pscommand shows the oneAPI container status asExited (1), anddocker logsreturnsmodel connection failed. Cause: The listening port of the local large language model was not mapped to the container network, preventing oneAPI from establishing a connection. - Symptom: No matching results are returned after a knowledge base search, and no synchronization logs appear in the backend. Cause: The
sync_intervalparameter was not configured, or database connection parameters were not set correctly during source code deployment, resulting in no persistence of knowledge base data. - Symptom: Only the first 20 pages of an uploaded paper manufacturing product manual are displayed after parsing. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted; the default timeout cannot complete full parsing of long documents.
How to verify correct configuration
- A 100+ page paper manufacturing product PDF is uploaded, and the parsed content is checked for full display with no truncation or error prompts.
- A marketing content search is initiated, and the recall results are confirmed to include the configured
custom_extract_fieldsfields, with parameter units matching the original documents. - The oneAPI container is restarted, and
docker psis used to confirm the container status isUp, with no error logs output. - A knowledge base synchronization is manually triggered, and after synchronization completes, search results are checked for inclusion of newly added marketing material content.
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.