What the data for this category looks like
Data sources for paint and ink financing daily reports include public filing information from the National Paint Industry Information Center, corporate financing announcements from local financial supervision bureaus, and transaction ledgers from supply chain financial service platforms. Data is updated daily. Financing updates from the previous natural day are compiled and released in the morning of the current day. Document structures primarily use structured tables, with single large financing announcement attachments. Fields include full financing entity name, financing occurrence date, financing amount, financing type, fund provider name, disclosure media source, and affiliated paint and ink sub-sector. Financing amount unit is ten thousand RMB. Some batch summary documents contain over 15,000 rows of detailed data. Single large announcement documents can reach up to 100,000 Chinese characters.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Decentralized data sources lead to inconsistent field formats. Multi-turn dialogue must first complete field alignment to avoid missing fields or format errors in returned results. The existence of batch detailed data and long documents requires multi-turn dialogue context to support segmented loading and gradual integration, preventing response failure caused by context overflow. The daily updated dynamic attribute requires configuring real-time data pull trigger conditions in prompts to avoid returning outdated information. The need for consistent unit verification of financing amounts requires adding unit conversion rules to prompts to prevent incorrect amount magnitudes. Long document parsing takes a long time, so sufficient waiting time must be reserved in multi-turn dialogue to avoid premature session termination.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Adapt to the segment length of split 100,000 Chinese character documents, avoid context overflow |
UPLOAD_FILE_MAX_SIZE | 1024 MB | Accommodate 15,000-row detailed Excel files and 100,000 Chinese character announcement documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Reserve sufficient time for long document parsing and field alignment |
Recall Count | Top 10 entries | Match the conventional number of daily updates for paint and ink financing daily reports, reduce context occupancy |
Similarity Threshold | 0.75 | Distinguish financing records of the same entity at different times, avoid duplicate recall |
maxTokens | 4096 | Control the output length of a single dialogue round, avoid ultra-long response timeouts |
The parameter values provided here are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The frontend calls the
/api/v1/chat/completionsinterface and returns a CORS cross-domain error or403 Forbiddenstatus code. Cause: No allowed access domain whitelist is configured, or the privatized deployment reverse proxy does not allow the corresponding interface path. - Phenomenon: Unable to obtain token consumption details for each conversation. Cause: Global token statistics configuration is not enabled, or the bound model does not match the token calculation model.
- Phenomenon: When processing 100,000 Chinese character Word documents or 15,000-row Excel data, multi-turn dialogue has no response, or output delay is high after knowledge base search. Cause: Appropriate
maxContextandRecall Countconfigurations are not set, leading to excessive data loading in the context or parsing timeout.
How to Confirm Configurations Are Correct
- Initiate a multi-turn dialogue containing financing daily report data, check if the returned result fields match the data source. Adjust the prompt's field alignment rules based on inconsistencies.
- Upload a 15,000-row Excel file and a 100,000 Chinese character Word document, confirm that the parsing completion time is within the preset timeout threshold. Adjust the corresponding configuration items based on actual time consumption.
- Test frontend interface calls from different domains, confirm no cross-domain errors occur. Update the domain whitelist configuration based on actual access sources.
- Initiate multiple consecutive conversations, check if token consumption statistics are generated normally. Adjust context and output length configurations based on statistical 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.