Multi-turn Dialogue and Prompt Engineering for Semiconductor Financing Daily Reports

Data sources for semiconductor financing daily reports include public announcements of semiconductor enterprises, industry association disclosure

What this type of data looks like

Data sources for semiconductor financing daily reports include public announcements of semiconductor enterprises, industry association disclosure documents, and securities firm electronic industry research reports. The update rhythm is daily updates. Data disclosed before 16:00 on the same day is included on that day. The document structure consists of individual daily report entries, which include financing entity name, affiliated semiconductor segment, financing round, financing amount (unit: ten thousand RMB or USD), investor list, disclosure date, and project overview. The length of individual entries varies greatly, with some large financing entries containing longer content.

What constraints these characteristics impose on multi-turn dialogue and prompt engineering

Data sources are scattered and only publicly available. Multi-turn dialogue must clearly limit the knowledge base recall scope to only publicly disclosed semiconductor financing data, to avoid mixing in non-public or cross-industry information. The daily update rhythm requires multi-turn dialogue to support retrieval by date range, and verify that the data disclosure date matches the daily update rhythm. Fields include different currencies and amount units. Multi-turn dialogue must explicitly require the unit to be marked when returning data, to avoid confusion. The length of individual entries varies greatly. Multi-turn dialogue must adapt to long text parsing, to avoid truncation that causes loss of field information.

Configuration Settings

Configuration ItemRecommended ValueRationale
recall_top_kTop 6-10 entriesAdapt to the scale of daily semiconductor financing entries, avoid recalling excessive redundant content
max_context_tokens8000-12000Adapt to the needs of single long financing entries and multi-turn dialogue context
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapt to the parsing duration requirements of long research report-style financing documents
prompt_templateOnly return results based on publicly disclosed semiconductor financing data, and clearly mark the amount unit and currencyMatch data source and field format requirements
filter_by_dateDaily incremental recallAdapt to the rhythm of daily updated daily report data

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 specific analysis. It is recommended to test on your own samples before finalizing.

Three Common Misconfigurations

  • Phenomenon: An error The value of "offset" is out of range is returned when calling the dialogue interface. Cause: max_context_tokens is not configured to limit the context length. Long text parsing exceeds the model context threshold, causing the offset parameter to overflow.
  • Phenomenon: Financing data recalled by the knowledge base mixes entries from non-semiconductor fields. Cause: The prompt_template does not limit the data source to publicly available semiconductor financing data, leading to recall of financing information from other industries.
  • Phenomenon: The financing amount returned in multi-turn dialogue does not mark the currency and unit. Cause: The prompt_template does not enforce the field format requirement, leading to missing amount unit information in returned data.

How to Verify Correct Configuration

  • Initiate a single-turn dialogue, enter a query for semiconductor financing on a specified date, and confirm the returned results only include semiconductor field financing entries.
  • Initiate a long financing entry test, and confirm the returned results clearly mark the amount unit as ten thousand RMB or USD.
  • Call the dialogue interface with multiple test data entries, and confirm no The value of "offset" is out of range error is returned.
  • After configuring filter_by_date, retrieve financing data within a specified date range, and confirm only entries matching the date range are recalled.

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.