What the data for this category looks like
Shipping port marketing content data is primarily sourced from route announcements, commodity promotion documents, customs clearance guides, investment cooperation manuals on official port websites, as well as script libraries and activity minutes from offline client communications. Update frequency is adjusted based on business needs: route adjustments and temporary commodity promotions have no fixed schedule, while investment documents are updated less frequently but may include new entries. Document formats include long text paragraphs, structured shipping schedules and fee tables. Fields include port code, route origin and destination, cargo type, fee unit (yuan/TEU), validity period, and others.
What constraints do these characteristics impose on vector models and indexing
The characteristics outlined above impose multiple constraints on the vector model and indexing workflow. Mixed content of long text and structured tables requires a chunking strategy that balances contextual completeness and business logic coherence, to avoid splitting that disrupts the continuous logic of routes and shipping schedules. Highly time-sensitive metadata fields require indexes to associate document metadata, enabling subsequent filtering of expired content. Irregular update requirements prioritize incremental indexing configuration, to reduce resource consumption from full index rebuilds. The need to retain structured fields requires enabling table parsing functionality, to avoid losing critical business information during vector recall that occurs when tables are converted solely to plain text.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CHUNK_SIZE | 800–1200 characters | Shipping port marketing content often includes long paragraphs of route descriptions and commodity introductions. Excessively long chunks will lose context, while excessively short chunks will damage the integrity of business logic |
CHUNK_OVERLAP | 150–200 characters | Route and shipping schedule content has continuous temporal logic. Overlapping chunks can retain contextual associations |
RECALL_TOP_K | Top 6–8 results | The decision-making workflow for port marketing content is short. Users typically focus on the first few matching routes or investment projects |
SIMILARITY_THRESHOLD | 0.72–0.80 | Keyword matching requirements for marketing content are higher than for general documents. A threshold that is too low will introduce irrelevant port announcements |
INDEX_INCREMENTAL_ENABLE | Enabled | Updates to port routes and commodity promotions have no fixed schedule. Incremental indexing reduces resource consumption from index rebuilding |
PARSE_TABLE_STRUCTURE | Enabled | Port marketing content includes large volumes of structured shipping schedules and fee tables. Retaining table structure improves the accuracy of vector recall |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: When deploying v4.9.0 locally, no image indexing model options appear in the interface after creating a knowledge base and uploading documents, and a prompt states that no available image indexing model was found. Cause: This functionality is only pre-built into commercial deployment packages by default. Manual configuration of the corresponding model plugin is required for local open-source deployments.
- Symptom: After enabling index enhancement functionality, index parameters cannot be adjusted directly via the original edit button. Retrieval result debugging requires navigating to another page. Cause: In v4.9.0, the index debugging entry has been moved to the "Index Management" page of the knowledge base. Failure to update the operation path will block the debugging workflow.
- Symptom: A large number of expired shipping schedules or fee information appears in retrieval results, and the number of recalled results exceeds business expectations. Cause: The
INDEX_INCREMENTAL_ENABLEparameter is not configured, incremental indexing is not enabled, full indexing does not filter expired marketing content, and the recalled result count setting does not match business requirements.
How to confirm proper configuration
- Upload a test document that includes long text route descriptions and structured shipping schedules, and check if the parsed chunks retain the original field structure of the table.
- Submit a retrieval request, and verify that the returned results include metadata fields corresponding to port marketing content, such as route origin and destination, validity period.
- Edit an uploaded document to trigger an index update, and check that only the index for that document is updated, without a full index rebuild.
- Adjust the
SIMILARITY_THRESHOLDparameter, and verify that the matching degree of retrieval results changes appropriately with the parameter adjustment.
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.