What the data for this category looks like
Electronic component data primarily comes from publicly available manufacturer specifications, inventory ledgers from supply chain platforms, industry standard documents, and project BOM lists. Manufacturer specifications are updated irregularly alongside model iterations. Inventory data is synchronized daily or per supply lead times. BOM lists are dynamically adjusted based on project requirements. A single data document typically includes basic identification fields, performance parameters, and compliance information. Basic identification fields include part numbers and package types. Performance parameters include rated power, voltage withstand values, and operating temperature ranges, with units mostly being industry-standard ones such as Ω, V, W, ℃, and the like. Some custom models include special parameter descriptions.
What constraints these characteristics impose on multi-turn dialogues and prompt engineering
Electronic component data has many fields and inconsistent units. Prompts must clearly specify extraction rules, otherwise parameter confusion or unit loss may occur. In multi-turn dialogues, users often ask comparative questions about different models. Model association information from previous conversations must be retained to avoid repeated inquiries about basic parameters. Some manufacturer specifications are lengthy, so timeout thresholds must be controlled during parsing to prevent information loss from truncated long documents. Inventory data has high real-time requirements, so the latest data sources must be prioritized in multi-turn dialogues to avoid providing outdated supply information.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | First 8 turns of conversation context | Electronic component marketing often involves comparisons across multiple models. Excessive context will dilute core parameters. Retaining the first 8 turns covers the full needs of user model selection and parameter comparison |
extractFieldRules | Extract according to "part number, package type, rated power, temperature range", retain original marked units | Electronic component parameter fields are numerous and units are inconsistent. Clear rules can prevent extraction results from being disordered |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Manufacturer specifications are typically lengthy. 120 seconds allows complete document parsing and avoids timeout truncation |
recallTopK | Top 3 matched model data | In marketing scenarios, prioritize displaying core model parameters with high matching degrees to avoid excessive redundant information interfering with users |
promptTemplate | "Please generate marketing copy based on the provided electronic component data and user questions, and clearly mark the part numbers and corresponding parameter units" | Adapt to the professional nature of electronic component marketing, guide the generation of content suitable for industry scenarios |
The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on one's own samples before finalizing settings.
Three Common Mistakes
- Pass any parameter into the prompt code block of the text content extraction module, and the extraction result will show the code block content as undefined. The cause is that the variable reference rules for the code block are not clearly defined in the prompt, causing the system to fail to recognize the incoming parameter.
- Execute a single conversation deletion operation, and the associated log records will disappear synchronously. The cause is that an independent storage strategy for logs and conversations is not configured. The default binding to the conversation lifecycle causes data to be deleted along with the conversation.
- Historical interaction content cannot be correctly referenced in multi-turn dialogues. The cause is that the context retention configuration is not enabled, or the context window is set too small, causing historical content to be truncated.
How to Confirm Configurations Are Correct
- Upload an electronic component manufacturer specification, run the text extraction module, and check whether the extraction results include the preset fields and correct units.
- Initiate more than two rounds of conversations, ask about parameters of different electronic component models separately, and check whether the system can correctly associate model information from previous conversations.
- Execute a single conversation deletion operation, and check whether the log system retains the relevant records of that conversation.
- Pass custom parameters into the prompt, run test cases, and check whether the code block content is correctly identified and applied.
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.