Multi-turn Dialogue and Prompt Engineering for Research Report Retrieval on Investment Platforms

Research report data sources for investment platforms primarily include brokerage research institutes, public fund research departments, and compliant

What the data for this use case looks like

Research report data sources for investment platforms primarily include brokerage research institutes, public fund research departments, and compliant third-party financial data service providers. Update frequency follows research report release cycles, with new content added each workday. The structure of a single research report includes fields such as title, issuing institution, release time, core investment logic, profit forecast data, and risk warnings. Profit forecast and valuation metrics use units including yuan, multiple, PE, and PB. Some documents include embedded charts and tables.

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

Single research reports are lengthy and contain multi-dimensional structured data fields. Multi-turn dialogue must retain previous interaction context and retrieved report snippets to avoid truncating core information. Update frequency fluctuates with market dynamics, so prompts must explicitly specify prioritizing newly released research reports. There are numerous detailed field dimensions with high standardization, so prompts must specify extraction of specific business fields to avoid generating irrelevant redundant information. Text parsing results for embedded charts and tables must retain associated logic to support detailed follow-up queries during multi-turn conversations.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersSingle research report often exceeds 3000 characters. Multi-turn dialogue needs to retain interaction context and retrieved content to avoid truncating core information
recall_top_kTop 8–12 resultsResearch report content is dense. Too many retrieved results will exceed the context window, too few will fail to cover core arguments
rerank_top_kTop 3–5 resultsFocus on the most relevant report snippets after re-ranking, to support precise positioning during multi-turn follow-up queries
prompt_templateFixed template specifying extraction of research report issuing institution, release time, and core dataInvestment scenarios require standardized extraction of specific fields to avoid generating irrelevant content
chunk_overlap150–200 charactersResearch reports have logical connections across paragraphs. Overlapping chunks preserve context coherence
PARSE_FILE_TIMEOUT_SECONDS120 secondsResearch reports often contain large numbers of charts and tables, leading to long parsing times, so the timeout period must be extended

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

  • When calling research report data in multi-turn dialogue, returned results are scattered and cannot be linked to the research report source from previous questions. This occurs when the maxContext parameter is not configured, or its value is too small, causing context from multi-turn interactions to be truncated.
  • In version 4.9.10, the prompt editing area of the application configuration page only displays 2 global variables. This occurs when "Advanced Variable Mode" is not enabled, or the custom variable entry is disabled by default after upgrade, which differs from the default configuration of version 4.8.10.
  • Calling the research report retrieval API returns a 401 error, indicating the API Key is invalid. This occurs when a globally shared API Key is used instead of an application-specific API Key. Global keys cannot directly call application dialogue interfaces.

How to Verify Correct Configuration

  • Initiate a query containing research report keywords and specific data requirements, verify that returned content includes preset research report fields.
  • Launch 3 consecutive progressive queries, verify that the system retains context information from previous interactions.
  • Check the variable list on the application configuration page, confirm that the number of editable global variables meets expectations.
  • Upload a test research report, verify that the parsed chunk length and overlap match the configured requirements.

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.