What the data for this category looks like
Relevant data for dairy product marketing and customer acquisition scenarios mainly comes from production management systems, offline terminal POS systems, and the brand’s own marketing material library. Production batch data is updated according to production plans. Offline sales data is synchronized daily. Marketing materials are added or adjusted as needed. The document structure of a single data entry includes product SKU code, net content, milk source region, shelf life, supporting marketing copy, and promotional activity rules. There are no percentage-based values in the fields. Units are uniformly physical units such as milliliters, grams, and days. No complex nested structures are present.
What constraints do these characteristics impose on deployment and upgrade
The multi-SKU attribute of the dairy product category requires creating indexes by SKU during deployment to avoid mixing marketing content for different products. Daily updated sales data requires configuring an incremental synchronization mechanism during deployment to reduce resource usage from full synchronization. The characteristic that marketing materials are adjusted as needed requires upgrades to support incremental upload and partial updates, without requiring a full rebuild of the knowledge base. The shelf life field uses days as its unit, which requires the parsing and retrieval links to correctly identify the time unit to avoid matching errors for expiring product marketing. In addition, the marketing material library with mixed multiple categories requires configuring dedicated classification tags during deployment to facilitate subsequent precise recall.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Dairy marketing materials include long-text short video scripts and high-definition product images, so sufficient parsing time must be reserved |
UPLOAD_FILE_MAX_SIZE | 800 MB | Meets upload requirements for single-batch product introduction PDFs and short video source files |
maxContext | 800–1200 characters | Matches the mixed content length of dairy product parameters and marketing copy, avoiding truncation of critical SKU codes |
| Recall Count | Top 6–8 results | Adapts the number of retrieval results for multi-SKU dairy products, avoiding excessive results interfering with marketing content matching |
| Similarity Threshold | 0.72–0.85 | Distinguishes precise product matches from general marketing content, avoiding recall of irrelevant expiring product information |
SYNC_INCREMENTAL_ENABLE | Enabled | Adapts to the daily incremental update requirement for dairy product sales data, reducing resource usage from full synchronization |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Knowledge base search returns empty results in v4.8.10, with no matching content after entering a product SKU or marketing keyword. Cause: Precise index configuration for SKU fields is not enabled, or the incremental synchronization task is not triggered correctly, resulting in the latest product data not being imported into the knowledge base.
- Phenomenon: Configuration conflicts or image pull failures occur during docker upgrade, and unused admin-side images in docker-compose.yml are retained. Cause: Old unused images are not cleaned up, or image version tags in docker-compose.yml are not updated synchronously during upgrade.
- Phenomenon: An incorrect port number is entered when configuring
OPENAI_BASE_URL, or anAccess deniederror appears after starting the mysql container, but external interfaces can still be accessed normally. Cause: A transit proxy exists in the local deployment environment, or the proxy service does not perform validity checks on URL ports, or port mapping, account, and password parameters for mysql are not configured correctly, leading to incorrect configurations being bypassed.
How to confirm configurations are set correctly
- Upload a dairy product introduction document, check that the parsed text fully retains key fields such as SKU code and net content, with no obvious truncation.
- Trigger an incremental synchronization task, check the knowledge base synchronization logs to confirm that the synchronization time of sales data matches the preset cycle.
- Enter test SKUs and marketing keywords to retrieve the knowledge base, check that the number and similarity of returned results match the preset configurations.
- View service logs after starting the container, confirm that the
OPENAI_BASE_URLconfiguration has been loaded correctly, with no port error prompts.
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.