What the data for this category looks like
Data sources for computer equipment include equipment ledger systems, sales CRMs, operation and maintenance log libraries, and user feedback tickets. Update cadence falls into three categories: new models and inventory change data are synced daily, real-time operation and maintenance fault data is pushed minute-by-minute, and user feedback data is collected in batches. The document structure of a single device entry includes fields such as model, serial number, CPU clock speed, memory capacity, storage specification, manufacturing date, warranty period, current inventory status, and historical sales records. Field units include independent units such as GHz, GB, units, and days.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Multi-field device parameters require prompts to accurately match field names, to avoid information deviation caused by vague references. Real-time operation and maintenance data and inventory changes must be pulled immediately during dialogue, which requires that the context window not be overly large. An overly large window will increase token consumption and interaction delay. Multi-turn interactions must retain unique identifiers such as device serial numbers and models mentioned by users, otherwise specific devices cannot be located for consultation. Batch sales records and promotional activity data must be recalled in pages, to avoid content truncation caused by token overflow in a single round of dialogue.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Computer equipment requires retaining key identifiers such as models and serial numbers in multi-turn interactions, to avoid premature context truncation |
pluginTimeout | 300 seconds | Equipment operation and maintenance data and inventory queries pull data across multiple systems, so sufficient timeout time must be reserved to complete data acquisition |
recallTopK | Top 6 entries | Marketing content needs to match device models and promotional rules; excessive recall increases token consumption and response delay |
targetCollection | Business-specified collection name | Must accurately match the collection name of the device knowledge base, to ensure recalled content aligns with the marketing scenario |
databasePluginEnable | Enabled | Connectivity to device inventory and sales databases is required to obtain real-time data, supporting accurate queries and marketing matching in multi-turn dialogue |
promptTemplate | Calibrated via actual testing | V4.9.3 and later versions must adapt to the format requirements of device fields, to avoid prompt ambiguity |
The parameter values provided on this page are conventional recommendations used to establish a configuration starting point. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and testing on available samples is recommended before finalizing settings.
Three common configuration mistakes
- Dialogue calls show a 1-minute time consumption, but content return time exceeds 600 seconds. The interface returns
200 OKbut content generation delay is too high. The root cause is that thepluginTimeoutconfiguration value is less than the actual time required for device data pulling, and sufficient time is not reserved. - An error occurs after configuring the database connection plugin. The interface displays the
database connect failedprompt. The root cause is incorrect database access credentials or unopened corresponding ports in the firewall. - Generated Markdown content has no line breaks. Copied text does not wrap automatically. The root cause is that the prompt template does not include Markdown format line break instructions, and no line break format requirements are added to the template.
How to Confirm Successful Configuration
- Initiate a query containing a device model, and verify that knowledge base recalled content comes from the specified device knowledge base collection.
- Initiate a multi-turn dialogue containing a device serial number, and verify that the context window retains all key identifier information.
- Trigger a database plugin call, and check that plugin logs show successful data pulling with no timeout error records.
- Generate a device marketing content draft, and verify that copied Markdown content includes correct line break separations.
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.