Deployment and Upgrade for Glass Marketing Content

What the data for this category looks like

Data related to glass marketing comes primarily from product specifications provided by manufacturers, test reports from third-party quality inspection agencies, and inventory synchronization data from supply chains. Regular mass-produced glass has fixed parameters, with new product specifications updated quarterly. Custom glass parameters are generated in real time for each order, and inventory data is synced weekly.

The document structure of a single data entry includes product model, physical dimensions, mechanical performance parameters, and applicable scenario tags. Exclusive fields include glass thickness (unit: millimeters), bending strength (unit: megapascals), and visible light transmittance (dimensionless numerical range). No percentage-based statistical values are included.

Constraints imposed on deployment and upgrade

The glass category has many exclusive parameters and custom update scenarios. This requires supporting dynamic field expansion during deployment, to avoid hard-coding fixed fields that restrict retrieval scope.

Data sources with multiple update frequencies need differentiated sync tasks. This distinguishes quarterly regular product updates from real-time custom order data.

Glass product documents usually include multi-page quality inspection reports and parameter tables. Parsing these takes longer, which puts higher demands on deployment timeout configurations.

Additionally, marketing content must be associated with specific glass parameters. Knowledge base chunks must be split by parameter dimensions, to ensure accurate product information can be matched during retrieval.

How to Set Configurations

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`900 seconds`	Glass product documents usually include multi-page quality inspection reports and parameter tables, which take longer to parse, so sufficient parsing time must be reserved
`UPLOAD_FILE_MAX_SIZE`	`2000 MB`	Bulk uploaded glass product manual PDFs and compressed batches of quality inspection reports have large file sizes, so support for large file uploads is required
`maxContext`	`8000–12000 characters`	Glass product parameter association information is abundant, so sufficient context must be retained to support the generation of selection-based marketing content
`recall count`	`Top 6–8 entries`	Glass product selection requires comparison of multiple sets of parameters, too many returned results will interfere with the accurate generation of marketing content
`similarity threshold`	`0.72–0.80`	Glass model names have high similarity, so low-match results must be filtered to avoid retrieving irrelevant products
`chunk length`	`1000–1500 characters`	Parameter blocks in glass product documents have uniform lengths, overly long chunks will lose associated information between parameters

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 specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Symptom: The service restarts frequently after deployment, returning status code 502. Cause: The UPLOAD_FILE_MAX_SIZE parameter was not adjusted, and memory overflow was triggered when bulk uploading large glass product manuals.
Symptom: After modifying config.json and restarting the container, the model list does not update. Cause: config.json was not mounted to the container's /app/data/config directory, so the configuration file was not loaded by the system.
Symptom: An error occurs when clicking the knowledge base module, prompting "missing parameter". Cause: The custom field mapping for glass product documents was not configured, so exclusive parameters such as glass thickness cannot be matched during retrieval.

How to Verify Proper Configuration

Upload a single-page glass product quality inspection report PDF, check whether the parsed text includes exclusive fields such as glass thickness and bending strength, with no missing entries.
Modify config.json, restart the container, enter the container and run cat /app/data/config/config.json, confirm that the modified content has been synchronized to the configuration file inside the container.
Initiate a knowledge base retrieval, enter "8mm tempered glass parameters", check that the number of matching returned results falls within the range set by the recall count configuration.
Test calling the aggregation model interface. When accessing with a universal KEY, confirm that the returned model list includes the privately deployed model set in the configuration, with no abnormal errors.

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.