What the data for this category looks like
Electronic component investment research data primarily comes from manufacturer public datasheets, industry supply chain platforms, compliance certification databases, and specialized field research reports. Manufacturer datasheet updates are triggered by new product launches or specification iterations, with no uniform fixed cycle. Supply chain data updates daily on supply status and quotes. Compliance databases update quarterly per regulatory requirements. Individual documents include fields such as component model, package type, rated parameters, operating temperature range, and pin definitions. Parameter units include Ω, pF, mm, ℃ and other specialized measurement identifiers. Some documents include parameter descriptions in multiple languages.
Constraints on Multi-turn Dialogue and Prompt Engineering
The specificity of electronic component parameters and their unique units require multi-turn dialogue to continuously track user-specified component models and parameter units, to avoid cross-model confusion. Document lengths vary widely: small capacitor datasheets are only a few pages, while large power module documents can reach dozens of pages. This requires adapting to long-context dialogue retention. Differences in update rhythms across data sources require prompts to explicitly specify data source priorities, to ensure retrieval of the latest supply and compliance information. The multi-field parameter structure also requires dialogue flows to sort outputs according to investment research needs, to avoid irrelevant parameters interfering with core analysis.
How to Set Configurations
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to the context retention needs of long electronic component documents and multi-turn parameter follow-up questions |
relevanceThreshold | 0.72–0.85 | Filters low-match non-target model data to ensure parameter accuracy |
rerankTopN | Top 6–8 entries | Covers the retrieval needs of multiple associated parameter sets, avoiding omission of critical specialized data |
PROMPT_TEMPLATE | Fixed prefix: "Match the user-specified electronic component model, output parameters in investment research priority order" | Clarifies the model's task boundaries, avoiding confusion between components of the same model with different packages |
PARSE_CHUNK_SIZE | 1200–1500 characters | Adapts to the paragraph structure of electronic component datasheets, avoiding split breaks in parameter groups |
maxResponseTokens | 2000–3000 characters | Meets the complete output requirements for multiple parameter sets, compliance information, and supply cycles |
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 case-by-case analysis. Testing on internal samples is recommended before finalizing configuration values.
Three Common Mistakes
- Phenomenon: Multi-turn dialogue output includes unconfigured thinking process content, which does not occur during debugging. Cause: Thinking tags are not disabled in the global prompt, or the code execution node is not mounted to the full link node of dialogue output.
- Phenomenon: Electronic component parameters retrieved from the knowledge base have unit confusion, such as mistaking resistance unit as pF. Cause: The prompt does not specify mandatory unit verification for each parameter, and the standard unit mapping of model and parameters is not associated during the retrieval phase.
- Phenomenon: Knowledge base responses are truncated, and output works normally in simple mode. Cause: The
maxResponseTokensconfiguration does not adapt to the output limit of the quantized model, or key parameter-containing paragraphs are truncated during segmented parsing.
How to Confirm Correct Configuration
- Initiate multi-turn parameter follow-up questions: First query the core parameters of a specific component model, then add a follow-up query for its compliance certification information. Verify that the model retains the previous round's model information without confusion.
- View dialogue logs: Confirm that output content does not include unconfigured thinking tags, and that parameter units match standard identifiers from official documents.
- Upload a single complete manufacturer datasheet: Verify that parsed segments do not break key parameter combinations, and that the match rate of retrieval results meets preset threshold requirements.
- Test long-text output scenarios: Confirm that multiple sets of electronic component parameters, supply information, and compliance descriptions are output completely, with no premature truncation.
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.