What the data for this category looks like
Marketing content data for general equipment primarily comes from selection manuals for financial institution equipment leasing businesses, publicly available manufacturer product parameter documents, operation record documents, and leasing plan case documents for enterprise clients. Data updates occur irregularly alongside manufacturer new product launches, parameter revisions, or financial institution leasing plan updates. Most documents are in PDF format, with structures including product models, core performance parameters, installation dimensions, applicable scenario descriptions, and leasing cost calculation modules. Fields include model codes, rated flow, working pressure, supporting power, material types, and single-unit leasing quotes. Common units include m³/h, MPa, kW, mm, yuan, and others.
What constraints these characteristics impose on model integration and configuration
Long documents, professional parameters with units, irregular updates, and frequent inclusion of financial content such as leasing cost calculations create multiple constraints for model integration and configuration. Long document sets require adaptation to larger context windows to avoid breaking links between parameters and cost calculations when split. Professional unit fields require associated validation to prevent lost unit information in generated marketing content, which can cause customer misunderstanding. Irregularly updated data sources require scheduled synchronization mechanisms to avoid use of outdated device parameters or leasing quotes. Marketing content often ties to enterprise client operating condition requirements, so recall rule field weights must be optimized to ensure parameters match scenarios and cost calculations.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | General equipment selection and leasing plan documents typically span 5 to 10 pages. Single segment length after splitting adapts to long text recall and generation |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Manuals and plan documents for large complete sets of equipment have more pages, with parsing times significantly longer than standard documents |
RECALL_TOP_K | Top 6–8 entries | Device parameters and leasing calculation fields are numerous, requiring sufficient recalled information to support accurate generation of marketing content |
SIMILARITY_THRESHOLD | 0.75–0.85 | Differentiate device parameters across different models in the same category, avoiding recall of low-match leasing plans |
AUTO_SYNC_CRON | 0 0 2 * * ? | Manufacturer parameters and financial leasing plan updates typically occur on workdays. Daily early morning synchronization ensures data source timeliness |
UPLOAD_FILE_MAX_SIZE | 500 MB | Multi-page manuals and leasing plan documents for large complete sets of equipment have larger file sizes, requiring adaptation to upload requirements |
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. Analyze specific cases individually, and confirm values via testing on samples specific to the deployment before use.
Three Common Configuration Mistakes
- Calls to local Ollama models return
429 Current group upstream load is saturatederrors. The cause is missing concurrency limits for the local model. Marketing content generation for financial institution equipment often requires batch model calls to create customized solutions for different clients, leading to Ollama service overload. - Generated marketing content loses device parameter units. The cause is disabled recall configuration for parameter unit association. Direct extraction of pure numerical values leads to missing professional information, which impairs customer understanding of leasing plans.
- Timeout errors occur during device manual parsing. The cause is an overly small
PARSE_FILE_TIMEOUT_SECONDSvalue, which fails to match parsing times for large documents.
How to Confirm Successful Configuration
- Upload a single general equipment selection manual, verify that parsed fields include models, parameters, corresponding units, and leasing calculation information to confirm document parsing configuration is active.
- Submit a request to generate leasing marketing content for a specific device model, verify that returned content links correct device parameters, applicable operating conditions, and cost calculations to confirm recall and generation configuration is active.
- Wait for the scheduled sync task to trigger, verify that the data source list includes updated manufacturer documents or leasing plans to confirm automatic sync configuration is active.
- Submit batch model call requests, observe service return status to confirm concurrency limit configuration matches requirements for batch generation business.
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.