What the data for this category looks like
Marketing content data for shipping ports mainly comes from port operation systems, official public announcements, berth scheduling logs, cargo throughput ledgers, and historical marketing material libraries. Data update rhythms fall into two categories: operational data such as route schedules and berth availability is updated in real time or daily, while material data such as marketing scripts and poster copy is updated on demand. Document structure includes structured fields and unstructured content. Structured fields include port code, berth number, cargo category, arrival time, and slot surplus, with units: code, count, category, YYYY-MM-DD HH:MM, and TEU respectively. Unstructured content includes historical versions of marketing copy and image asset metadata.
What constraints these characteristics impose on model access and configuration
Shipping port operational data has high real-time requirements, so model access must adapt to high-frequency low-latency invocation scenarios. Timeout thresholds must match the response windows of business queries. Multiple structured fields have special units such as TEU and berth counts, so unit conversion rules must be clearly defined during field mapping to avoid mismatches between model output and business units. Marketing content includes both structured ledgers and unstructured materials, so both structured data recall rules and unstructured document parsing parameters must be configured. Differences in update rhythms across data types require matching differentiated knowledge base sync trigger mechanisms.
How to Set Configurations
| Config Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Port marketing materials often include high-definition berth real-world photos and PDF route timetables, which require longer parsing times. 300 seconds covers parsing for most large-format materials |
embedding_batch_size | 16–32 | Structured ledger data has large volume. Batch parameters adapt to batch parsing to avoid overloading single invocations |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Port marketing materials include single ultra-high-definition port panoramic images, so large file upload support is required |
maxContext | 8000–12000 characters | Marketing content must combine route data and cargo information, so context length must cover a complete single route ledger and associated marketing copy |
retrieval_top_k | Top 8 entries | Port marketing requires balancing accurate route matching and multiple cargo type alternatives; excessive recall increases model inference latency |
multimodal_model | 通义千问QWEN2.5-VL-7B-instruct or equivalent open-source multimodal model | Port marketing content includes berth real-world photos and cargo stack images. This model can assist in generating scenario-appropriate marketing copy |
The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis. Testing on self-provided samples is recommended before finalizing configuration values.
Three Common Configuration Mistakes
- After configuring a multimodal model, port real-world images cannot generate valid analysis results. Cause: The multimodal model was not bound to the knowledge base directory storing marketing images, only the multimodal function was enabled in global settings.
- A 404 error is returned when invoking a locally deployed open-source model. Cause: The local access address and port mapping of the model were not correctly configured in the platform, or the proxy service did not open access permissions for the corresponding port.
- Model invocation fails after enabling embedding model forwarding to OneAPI. Cause: The output dimension parameter of the embedding model was not aligned with the configuration items of OneAPI, causing the request format to not comply with OneAPI's verification rules.
How to Confirm Configuration is Complete
- Upload a single port berth real-world image, check if the model analysis result includes a description of the image content, and verify that the multimodal model is invoked normally.
- Import a CSV file containing structured route data, check if the parsed fields in the knowledge base match the preset port business fields.
- Initiate a test request including slot surplus query, check if the model return result matches the unit and value of real-time operational data.
- Check platform logs to confirm that the request formats of the embedding model and OneAPI are consistent, with no format verification failure error messages.
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.