Multi-turn Dialogue and Prompting for Electronic Component Research Report Retrieval

Data sources for electronic component research reports targeted at financial investment research include public consulting reports in the electronics

What the data for this category looks like

Data sources for electronic component research reports targeted at financial investment research include public consulting reports in the electronics industry, original equipment manufacturer technical white papers, and public documents for downstream application scenarios. Regular research reports are updated quarterly. New product technical analysis documents are updated in real time according to the release schedule of original equipment manufacturers. The structure of a single document usually includes four modules: core parameters, application scenarios, market supply and demand, and competitor comparison. Core fields include package model, rated voltage, operating temperature range, delivery lead time, and unit price. Corresponding units are: no unified format for package model, volt (V), degrees Celsius (℃), day (d), and yuan per thousand units.

Constraints for multi-turn dialogue and prompting

The precise parameter requirements of electronic component research reports mean multi-turn dialogue must guide users to clearly specify specific parameter dimensions. This avoids vague questions. The real-time update rhythm of documents requires prompts to explicitly limit use of the latest released research report content. This prevents returning outdated data. The requirement for multiple fields and standardized units means prompts must mandate that returned results include corresponding fields and units. This ensures the accuracy of parameter comparisons in conversations. Additionally, dynamic fields such as delivery lead time allow users to add queries for dynamic parameters during multi-turn dialogue. This meets flexible investment research needs.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersElectronic component research reports are parameter-dense. Long context must retain parameter details from multi-turn dialogue to avoid conversation interruptions caused by context overflow
retrieveTopKTop 10 resultsThere are many electronic component subcategories. Sufficient documents must be retrieved to cover different parameter dimensions and support multi-turn follow-up queries
rerankTopKTop 3–5 resultsThe most relevant research reports must be filtered to avoid redundant information interfering with the accuracy of multi-turn dialogue
systemPromptFixed template requiring returned results to include standard units and parameter fieldsElectronic component research reports have strict unit requirements for parameters. This avoids vague returned statements and ensures accurate parameter matching in multi-turn dialogue
responseEscapeEnabledPrevents newline characters returned by the AI from causing JSON request format errors, complying with API call specification requirements
workflowSessionScopeSession-levelUser-specified parameters during multi-turn dialogue must be passed to workflow nodes, avoiding parameter conflicts and recognition failures caused by global variables

The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Symptom: An unAuthChat related error is returned when calling the chat interface, with a status code of 401. Cause: The chatAuthEnabled parameter is not configured correctly, or a valid apikey is not carried in the request header.
  • Symptom: Workflow nodes cannot obtain custom parameters passed during user dialogue. Cause: The parameter scope is not set to session-level, and binding global variables incorrectly causes parameters to not be recognized by the conversation context.
  • Symptom: AI returned content contains unescaped newline characters, leading to subsequent JSON format request failures. Cause: The responseEscape configuration item is not enabled, and returned content is not processed for format escaping.

How to Verify Proper Configuration

  • Initiate a multi-turn dialogue containing specific electronic component parameters. Check if the system can retain previously mentioned parameters such as package model and rated voltage to conduct follow-up queries.
  • Call the chat interface with a valid apikey. Check that the returned status code is 200 and no unAuthChat related errors are present.
  • Review the research report results returned by the AI. Confirm that all parameters include standard units and there are no vague statements.
  • Trigger a workflow node. Check that custom parameters can be properly passed from the conversation context with no null values or missing cases.

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.