What this category’s data looks like
The data for paper manufacturing financing daily reports is sourced from publicly disclosed corporate financing announcements and daily updated financing statistical ledgers from industry associations. Updates occur daily at midnight, with full financing entries from the prior day refreshed. The document structure uses individual financing records as the basic unit. It includes six core fields: full enterprise name, financing entity type, financing amount, financing method, fund usage, and disclosure date. Financing amount is labeled in ten thousand yuan or hundred million yuan units. Most fund usage scenarios are specific to the paper manufacturing industry, such as wood pulp procurement, paper production capacity expansion, and environmental protection equipment upgrades.
What constraints do these characteristics impose on multi-turn conversation and prompt engineering?
The daily update requirement means multi-turn conversations must limit the time range of the context. This avoids recalling outdated data beyond the current day or the previous two days. Differences in unit labels for core fields and industry-specific fund uses require clear labeling of amount units and industry scenario association rules in prompts. This prevents the model from confusing different types of financing uses. The standardized structure of individual records requires multi-turn conversations to link entries corresponding to their disclosure dates. This avoids mixing financing information across dates. Additionally, segmented financing scenarios in the paper manufacturing industry require prompts to filter out non-paper manufacturing financing entries. This reduces irrelevant information interference.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single paper manufacturing financing daily report record is approximately 300 characters. Multi-turn conversations need to accommodate historical context and up to 10 recalled entries. This range covers conventional conversation requirements |
recallTopK | Top 6–10 entries | Financing entries in the paper manufacturing industry are relatively concentrated within the same cycle. Too many recalled entries lead to redundant context. Too few fail to cover the relevant information required by users |
similarityThreshold | 0.72–0.8 | Disclosure texts of financing announcements have relatively high similarity. This threshold filters out irrelevant entries while retaining valid financing information from the same industry and type |
streamResponse | Enabled | Financing daily report data has a high update frequency. Streaming output shortens user perceived wait time, adapting to real-time query needs |
systemPromptTemplate | Fixed inclusion of "Only use the provided paper manufacturing financing daily report data, clearly label disclosure dates and amount units" | This adapts to the field characteristics of paper manufacturing financing daily reports. It prevents the model from generating fictitious information without citations, and clarifies unit and scenario association rules |
contextWindowHours | 24 hours | Financing daily reports are updated daily. Only context from the current day and the previous day needs to be retained. This avoids interference from expired data in current conversations |
The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Increasing
recallTopKto 3000 results in the large model failing to reference any recalled content. The cause is that the number of recalled entries exceeds the character limit of the configuredmaxContext. The system cannot include the recalled content in the context for the model to use. - Switching AI models causes conversation history to be lost. The cause is that cross-model context synchronization configuration is not enabled. Only the context cache for the current model is retained, and it cannot be synchronized to the conversation link of the new model.
- Using a knowledge base API key results in an unauthorized prompt. The cause is that the API key is not bound to the paper manufacturing financing daily report-specific knowledge base, or the permission scope of the API key is not configured with knowledge base call permissions.
How to confirm the configuration is complete
- Initiate a multi-turn conversation, sequentially ask for the same-day financing information of different paper manufacturing enterprises, and verify that the response clearly labels the corresponding disclosure date and amount unit.
- Adjust
recallTopKto 8, initiate a query containing relevant financing information, and check whether the reference source list at the end of the response includes the corresponding entries. - Enable
streamResponse, initiate a query, and verify that the conversation interface outputs content word by word in streaming format, with no scenario where full content is displayed only after loading is complete. - Use a test API key to call the interface, and verify that the returned results include the core fields of the paper manufacturing financing daily report, with no unauthorized error messages.
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.