What the Data for This Category Looks Like
Data sources for general investment research include public industry research report excerpts, public data from sector-specific associations, public filing documents for private and public fund products, and customized industry interview transcript excerpts. Data update cadence varies by source type. Research reports are updated by their publication date. Filing documents are updated quarterly or annually. Interview transcripts are synchronized on demand. Document structures include long-form research reports with chapter and chart annotations, structured tabular data with multi-dimensional statistical fields, and scattered interview transcript excerpts with time and entity identifiers. Fields include "publishing institution", "publication date", "data dimension", "statistical unit", and others. Some unstructured documents only contain plain text and source annotations.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
Multi-source, heterogeneous document structures require multi-turn dialogue prompts to distinguish between structured data retrieval and unstructured text recall logic. This avoids confusion between different information formats. Long-form research reports and multi-dimensional data require sufficient context window space. This prevents critical investment research information from being truncated. Scattered interview excerpts and structured tabular data coexist. Prompts must explicitly require answers to mark source fields and units of corresponding data. This ensures information credibility. Data with different update cadences must be differentiated by timeliness in dialogue. Prompts must include guidance logic for timeliness verification.
Configuration Settings
| Configuration Item | Recommended Values | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapts to context retention needs for long-form research reports and multi-turn dialogue, preventing loss of critical investment research data due to context overflow |
historyMaxTurns | 3–5 turns | Adapts to progressive questioning logic in investment research scenarios, preventing excessive historical conversations from occupying limited context windows |
Recall count | Top 6–8 entries | Covers multi-source heterogeneous investment research data sources, preventing valid information from sub-dimensions from being omitted when retrieval count is too low |
Similarity threshold | 0.72–0.78 | Balances retrieval accuracy between structured data and scattered interview excerpts, preventing valid sub-dimensional information from being filtered out due to an overly high threshold |
Rerank result count | Top 3–4 entries | Focuses on highly relevant core research reports and data, reducing interference from redundant information in multi-turn dialogue |
Custom Prompt Template | Includes guidance content for "marking data sources and units" | Adapts to information credibility requirements for investment research scenarios, clarifying answer formatting and source annotation rules |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: After adjusting the context length configuration, multi-turn dialogue still fails to retain key information from historical questions, or historical conversations are not included as a basis for current answers. Cause: The
historyMaxTurnsparameter limiting historical turns is not adjusted synchronously, or the custom prompt does not explicitly require including historical context. - Symptom: Calling the online dialogue interface returns empty data or status code 502. Cause: Knowledge base parsing timed out, or the
Similarity thresholdwas set too high, resulting in no matching investment research data being retrieved, and no failure fallback prompt logic is configured. - Symptom: Preset investment research guidance questions cannot trigger the dialogue process directly via click. Cause: No quick question list is configured at the dialogue entry, or the custom prompt is not bound to preset trigger instructions.
How to Verify Correct Configuration
- Initiate three consecutive progressive investment research questions. For example, first ask about the growth rate of a specific segmented industry, then ask about the publishing institution of that growth rate, and finally ask about competitor data for the same period. Check if the answer links context information from the first two questions.
- Call the dialogue interface, pass the
historyfield containing historical conversations, and check if the returned results include relevant data from historical questions. - View the knowledge base parsing logs. Confirm that fields such as "publishing institution" and "statistical unit" of structured investment research data have been correctly extracted and can be retrieved.
- Initiate an investment research-related question. Check if the answer marks the source and statistical unit of the corresponding data, in compliance with the custom prompt 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.