Multi-turn Dialogue and Prompt Engineering for Game Industry Research Report Retrieval

Data sources for game industry research reports include professional industry research institutions and game industry monitoring platforms. Regular

What the Data for This Category Looks Like

Data sources for game industry research reports include professional industry research institutions and game industry monitoring platforms. Regular category reports are released quarterly. Special research reports are generated when new products from leading manufacturers launch or industry policies are adjusted. Updates are triggered by events, with no fixed cycle, but reports go live within 24 hours of the event. Document structure includes a standardized title page, core data blocks, market analysis chapters, and risk warning modules. Fields cover publishing entity, release time, core business indicators, and policy-related items. Units are mostly ten thousand yuan and ten thousand monthly active users.

Constraints for Multi-turn Dialogue and Prompt Engineering

Game research report data sources are scattered, and report standards vary across different institutions. Multi-turn dialogue must align data source identifiers in the context to avoid confusion between analysis content from different institutions. Structural differences between regular category reports and special research reports are significant. Multi-turn dialogue must guide users to clearly specify the core fields of interest to avoid returning content from irrelevant modules. Special research reports triggered by events have high timeliness requirements. Multi-turn dialogue context must retain associated event keywords to ensure retrieval matches the latest published reports. Additionally, units for report data vary. Prompt engineering must require clear unit labeling when returning results to avoid numerical confusion.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–16000 charactersSingle game research report length typically ranges from 3000 to 8000 characters. Multi-turn dialogue requires retaining 3 to 5 rounds of context to avoid truncating critical information
recallTopKTop 8–12 resultsGame research reports include multi-dimensional business data. A sufficient number of retrieved documents must be recalled to cover different analysis modules and avoid missing key content
similarityThreshold0.75–0.85Keyword overlap for game research reports is relatively high. This threshold filters low-relevance retrieval results while retaining differentiated analysis from different institutions for the same category
PARSE_FILE_TIMEOUT_SECONDS120 secondsSome special research reports contain large numbers of charts and raw data, leading to longer parsing times. This setting prevents premature termination that causes document parsing failures
UPLOAD_FILE_MAX_SIZE50 MBSingle PDF or document game research reports typically range from 10 to 30 MB. This setting reserves sufficient space for batch-uploaded research report packages
rerankTopNTop 4–6 resultsMulti-turn dialogue must display the most relevant research report content to avoid user confusion from excessive results

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

Three Common Misconfigurations

  • Symptom: A "Knowledge Base Index Failed to Load" error appears in production environment conversations, but no such error appears in the preview interface. Cause: The MAX_KNOWLEDGE_BASE_CONNECTIONS parameter configuration in the production environment does not match the preview environment, or cross-region network policies restrict synchronization of the knowledge base index.
  • Symptom: Imported JSON-formatted research report data is truncated in multi-turn dialogue, with only partial content returned. Cause: The maxContext parameter value was not adjusted. The default context window cannot accommodate the full content of long JSON text.
  • Symptom: Research report data returned in multi-turn dialogue has inconsistent units, with some numerical values not labeled with units. Cause: The prompt did not explicitly require unit labeling when returning data, and non-standardized research report content was not filtered via the rerankTopN setting.

How to Verify Proper Configuration

  • Navigate to the application configuration page, check the values of parameters such as maxContext and recallTopK, and confirm they match the current document length and retrieval requirements for game research reports.
  • Upload a typical special game research report to test the parsing process, and confirm that parsing time does not exceed the PARSE_FILE_TIMEOUT_SECONDS configuration value.
  • Initiate a multi-turn dialogue, sequentially ask for research report data across different dimensions, and confirm that returned result fields match prompt requirements.
  • Switch to the production environment, initiate the same query as the preview environment, and confirm there are no additional errors or inconsistent results.

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.