What this category’s data looks like
Game financial report data primarily comes from public regular reports of listed game entities, operational data disclosed by industry associations, and special operational announcements officially released by game manufacturers. Quarterly reports are released within 45 days after the end of each quarter. Annual reports are released within 4 months after the end of the year. Temporary announcements are updated alongside major operational events. Most documents are in PDF format, and include report period identifiers, revenue breakdowns, user scale metrics, R&D investment details, and other content. Fields include report period, total revenue, game revenue proportion, MAU, DAU, ARPU, and R&D expense ratio. Units include RMB yuan, ten thousand yuan, hundred million people, and others.
What constraints these characteristics impose on retrieval and recall
These data characteristics impose constraints on the knowledge base retrieval and recall workflow. Data is updated on a fixed schedule with temporary incremental content. This requires the retrieval system to support incremental indexing by report period and release time, to avoid reindexing old data. Single financial report documents are lengthy. When performing segmented recall, adjacent business module context must be retained, to avoid losing the association between revenue and user data after splitting. There are game-specific business indicator fields. This requires retrieval matching to support precise field-level recall, to avoid mixing irrelevant indicators into results. Temporary operational announcements have strong timeliness. This requires recall results to prioritize incremental data from the last 30 days.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Game financial report segments need to retain complete context of associated metrics such as revenue and user count. Excessively long segments introduce irrelevant content, while excessively short segments lose business associations. |
recallTopK | Top 10–15 results | Financial report data has many closely related fields. A sufficient number of candidate segments must be recalled before effective results are filtered via reranking. |
similarityThreshold | 0.72–0.80 | Business indicator descriptions for game financial reports are relatively fixed. A threshold that is too low introduces irrelevant financial report segments, while a threshold that is too high misses associated data from the same report period. |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single listed game financial report PDFs typically contain multiple pages of tables and long text, requiring sufficient time to complete parsing and segmentation. |
enableIncrementalIndex | Triggered by report period | Financial reports are updated in batches by quarter or year. Incremental updates by report dimension reduce duplicate indexing overhead, and align with the data update schedule. |
rerankTopN | Top 5–8 results | Final retrieval results must focus on core business indicators. Too many results will interfere with downstream AI-generated financial report analysis content. |
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 values.
Three Common Mistakes
- Phenomenon: Retrieval results only return a single entry without associating the corresponding report period. Cause: The
chunkSizeparameter is not configured properly, leading to loss of context associating report periods and business indicators after segmentation, making it impossible to recall complete financial report data from the same batch. - Phenomenon: Retrieval results include financial report segments from non-target game categories. Cause: No valid range is set for
similarityThreshold, or document classification filtering is not enabled, leading to recall of low-similarity financial reports from unrelated industries. - Phenomenon: The configured knowledge base retrieval node in the workflow does not trigger associated HTTP data pulling. Cause: The output of the knowledge base retrieval node is not correctly bound to the input parameters of the HTTP request, causing the node to fail to pull financial report data as expected.
How to Confirm Proper Configuration
- Upload a single game financial report PDF, view the parsed segmented content, and confirm that segments retain associated fields such as report period, revenue, and user count.
- Submit a retrieval request containing "2024Q3 game revenue", check the number and similarity of returned results, and adjust
similarityThresholdto a range that meets business requirements. - Upload the latest released game temporary operational announcement, confirm that the knowledge base automatically triggers incremental updates, and that retrieval results prioritize relevant segments from this announcement.
- Trigger a workflow bound to knowledge base retrieval, check node logs, and confirm that the retrieval step correctly pulls the corresponding financial report data and passes it to downstream steps.
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.