What the data for this category looks like
Electronic component due diligence data comes from four main sources: original manufacturer public specifications, project BOM lists, supply chain batch ledgers, and third-party compliance test reports. Update rhythms vary by source. Original manufacturer specifications update with version iterations. BOM lists update when projects start or change. Test reports update after batch production finishes. A single document typically includes four structured field categories: packaging parameters, electrical characteristics, mechanical parameters, and compliance certifications. Most fields include clear units, such as rated voltage (V), operating temperature range (℃), and pin spacing (mm). Each material uses a unique material code.
Constraints imposed on multi-turn dialogue and prompt engineering
Multi-source heterogeneous data sources require multi-turn dialogue to support cross-document recall alignment. This prevents missing parameters from single data sources. Fields with clear units require prompt engineering to enforce matching between parameters and units. This stops incorrect value and unit combinations from being output. Differing update rhythms across sources require configuring incremental recall trigger logic. This ensures the latest batch of parameter data is returned. Layered document structures require prompt engineering to guide content extraction by material code and parameter category. This avoids confusing parameter information from different packages or batches.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Single electronic component specification documents often exceed 5000 characters, and multi-turn dialogue needs to retain multiple recalled fragments and historical interaction content |
recall count | Top 6–8 entries | Electronic component parameters are scattered across multiple heterogeneous documents, and need to cover relevant business segments from specifications, BOMs, and test reports |
similarity threshold | 0.72–0.78 | A large number of approximate expressions exist for electronic component parameters, requiring a balance between recall precision and coverage |
reranked return count | Top 3–4 entries | Core due diligence parameters only require 3-4 sets of key data, to avoid redundant information interfering with multi-turn dialogue logic |
prompt_template | Output extraction results in the format of "material code + parameter name + unit + value" | Electronic component fields must strictly match codes and units, to avoid parameter confusion |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large original manufacturer specification documents takes a long time, requiring adaptation to long document processing needs |
The parameter values provided on this page are common 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.
Three Common Mistakes
- Phenomenon: Output results include internal IDs of knowledge base fragments (such as number combinations + information groups). Cause: Failing to explicitly hide internal metadata in the prompt template, or failing to filter non-business fields in recall configuration.
- Phenomenon: LLM output includes irrelevant content outside the scope of electronic component due diligence, and cannot be strictly limited to knowledge base data. Cause: Failing to bind the knowledge base data source and electronic component category verification rules in the prompt, and failing to explicitly prohibit calling external information.
- Phenomenon: Custom models perform inconsistently between the dialogue page and workspace, with differing output logic. Cause: Failing to synchronize the global prompt template and model parameters, resulting in inconsistent rules across different application scenarios.
How to Confirm Correct Configuration
- Initiate a query containing a known material code, verify that the output result does not include internal IDs of knowledge base fragments. Adjust the prompt template or recall filtering rules if changes are needed.
- Initiate a question related to electronic components that exceeds the knowledge base scope, verify that the LLM refuses to answer or only returns knowledge base content. Optimize the binding rules of the prompt template if changes are needed.
- Switch between different application scenarios, initiate the same query, verify that the output logic is consistent. Synchronize global configuration parameters if changes are needed.
- Upload multiple heterogeneous electronic component documents, verify that the recall results cover relevant parameters from different sources. Modify the recall count and similarity threshold if changes are needed.
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.