What the data for this category looks like
Game financing daily report data primarily comes from third-party investment and financing databases, securities firm media industry research reports, public announcements of listed and unlisted game companies, and disclosures from vertical game industry media. Updates run daily on workdays, with occasional weekend backfills for temporarily disclosed financing events. Each individual data entry includes seven core fields: game name, development entity, investor list, financing amount, financing round, financing date, and affiliated market segment. Amount units are uniformly ten thousand yuan or hundred million yuan RMB, and date fields use the YYYY-MM-DD format.
What constraints these characteristics impose on the citation sources and traceability link
The dispersed nature of multi-source data for game financing daily reports requires configuring multi-data-source deduplication and priority rules to avoid duplicate citations of the same financing event. The high-frequency daily update schedule on workdays requires setting incremental synchronization scheduled task cycles to ensure the time difference between traced data and original events does not exceed 24 hours. Differences in market segment and amount unit across multiple fields require enforcing unified unit formatting during the traceability link while retaining original field mappings, to avoid segment confusion or amount unit errors during citation. The structure of multiple investor lists requires configuring complete traceability retention rules for list-type fields to prevent truncation of key investor information.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parseFileEncoding | UTF-8 | Most CSV files for game financing daily reports use UTF-8 encoding, which prevents garbled text after parsing |
maxRecallCount | Top 2000 entries | Adapts to the single-batch data volume of game financing data, balancing recall coverage and context window usage |
recallThreshold | 0.78–0.85 | Game financing data has strong professionalism; a higher similarity threshold filters irrelevant non-financing content |
sourceRetentionMode | Full field retention | Game financing data includes multi-dimensional traceability fields; full retention ensures information accuracy during citation |
contextWindowMaxTokens | 16384 | Adapts to the field length of single entries in game financing data, preventing recalled content from being truncated due to exceeding window limits |
apiDatasetUploadTimeout | 600 seconds | Prevents upload timeout errors when processing bulk game financing data files due to large file size |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: After uploading a CSV file for game financing daily reports, the interface displays garbled text, but downloading the original file shows no issues. Cause: The
parseFileEncodingparameter is not configured as UTF-8, so the file encoding does not match the default parsing value. - Symptom: After setting
maxRecallCountto 3000, the large language model cannot receive recalled knowledge base content. Cause: The total token count of 3000 recalled entries exceeds the preset threshold ofcontextWindowMaxTokens, leading to context truncation or discarding. - Symptom: After importing HTTP response data into the knowledge base as a citation, the corresponding source is not displayed during retrieval. Cause: The HTTP response data was not converted to the structured format supported by FastGPT, and required traceability fields such as
title,content, andsourceUrlwere not included.
How to Confirm Configurations Are Correct
- Upload a small test CSV file for game financing daily reports, check that parsed fields match the original document, with no garbled text or missing fields.
- Adjust
maxRecallCountto a custom test value, trigger knowledge base retrieval, and verify that the number of returned recall results matches the configured expectation. - Call the knowledge base retrieval interface, check that returned results include traceability fields such as
sourceandpublishTime, and that field content matches the original data. - View the running logs of the scheduled synchronization task, confirm that the incremental synchronization time cycle matches the update schedule of game financing daily reports.
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.