What the data for this category looks like
Game research report data sources include public reports from third-party gaming industry research institutions, public operational data from manufacturers, and user behavior statistics from gaming communities. The core update rhythm is as follows: core category reports are released quarterly, segmented category data is supplemented monthly, and temporary reports for sudden industry developments are released alongside events. Single document lengths vary widely. It is recommended to count or test against your own samples before finalizing settings. Required standard fields include: user scale (unit: ten thousand people), paying user scale (unit: ten thousand people), market scale (unit: hundred million yuan), ARPU value (unit: yuan), and others. Document formats are inconsistent, with some mixing structured data and unstructured trend analysis content.
What constraints these characteristics impose on model integration and configuration
The multi-source and inconsistent format of game research reports requires adapting model integration to multi-type data parsing to avoid loss of structured fields. The high-frequency update rhythm requires configuring the knowledge base to support frequent refreshes to avoid data lag. The wide span of document lengths requires adjusting context window parameters to prevent critical data from being truncated. The clear industry-specific field characteristics require prioritizing recall and reranking configurations to match specific data dimensions and improve retrieval accuracy. Additionally, the large number of segmented categories requires configuring support for filtering recalled content by category dimension to narrow the retrieval scope.
How to set the configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Most single game research report documents range from 3000 to 12000 characters. Full context must be retained to cover all analysis content |
RECALL_TOP_N | Top 10–15 entries | There are many segmented categories in game research reports. Sufficient recall is required to cover content across different tracks and avoid missing key information |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing some long research report documents takes a long time. This configuration prevents parsing failures due to timeout |
RERANK_MODEL | Set based on actual testing | Game research reports include structured fields such as user scale and revenue. Reranking models must be adapted to recognize industry-specific data |
UPLOAD_FILE_MAX_SIZE | 50 MB | Most single game research report documents are under 10 MB. This configuration reserves redundant space for batch upload scenarios |
MODEL_CONCURRENCY_LIMIT | 20–30 concurrent requests | User questions in game research report retrieval scenarios focus on industry data queries. Balance concurrent processing capacity and response speed |
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 specific analysis, and it is recommended to test against your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: Model concurrency limit is exceeded, returning 503 Service Unavailable status code. Cause: Concurrency limit parameters are not adjusted based on the concentration of user questions in game research report retrieval scenarios, leading to request backlog.
- Phenomenon: Parsed research report fields are lost, and the model cannot accurately extract data such as user scale and revenue. Cause: Research reports are not uploaded in structured format, and unstructured text prevents the model from identifying specific field boundaries.
- Phenomenon: Empty results are returned when calling tools to extract research report data, and the tool call flow cannot be triggered. Cause: When adapting the Qwen2.5 model deployed on Ollama, tool call-related switches are not enabled, preventing the model from recognizing tool call instructions.
How to confirm configurations are correctly set
- Upload a test game research report, check if parsed fields are complete, and confirm no timeout configuration exceptions are triggered.
- Submit a question targeting a specific game category, check if recall results include research report data for the corresponding category, and confirm recall and reranking configurations are effective.
- Submit batch simulated questions, check if system returned status codes are stable, and confirm concurrency limit configurations are adapted to the current scenario.
- Test the tool call function, confirm the model can correctly trigger the research report data extraction flow, and confirm tool call parameters are configured correctly.
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.