What Data Looks Like for This Category
Data sources include supply chain financing ledgers for the building materials industry, credit approval filings for building material enterprises submitted to local housing and construction authorities, and third-party enterprise financing data service APIs. The platform updates data daily on a T+1 basis, covering the previous day’s financing transaction data. The document uses a single-page structured table with these fields: enterprise subject name, building materials category sub-item, financing amount, financing party subject, fund provider subject, financing term, financing purpose. Financing amount uses ten thousand yuan as the unit. Financing term uses natural days or natural months as the unit. Financing purpose is a text description.
Constraints for Multi-turn Dialogue and Prompt Engineering
Daily updated structured data requires dialogue context to real-time link to the latest daily financing entries. Prompts must limit calls to only the latest data from the current day and previous day. There are many structured fields with clear units. During multi-turn dialogue, the system must verify that user questions about fields match preset units. This avoids confusion between ten thousand yuan and yuan, or day and month term expressions. Financing purpose is free text. Multi-turn dialogue must support users asking follow-up questions about financing details for specific building material categories. Prompts must guide the model to clearly distinguish financing data across different building material sub-categories, avoiding cross-category confusion. The feature of accessing multiple data sources requires the dialogue flow to prompt the model to only use loaded knowledge base data. This avoids calling unauthorized external data sources.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Compatible with FastGPT V4.9.1. Each single entry of the consumer building materials financing daily report is approximately 300-500 characters. This range can accommodate 15-20 daily financing entries, meeting the context requirements of multi-turn dialogue. |
Recall Count | Top 10 entries | Daily financing entries typically do not exceed 20. Recalling the top 10 entries covers major transaction subjects, avoiding redundant information interfering with multi-turn dialogue. |
Similarity Threshold | 0.75–0.85 | There are many sub-categories of building material categories. This threshold prevents cross-category financing data from being incorrectly recalled, improving the accuracy of matching user questions. |
memory_window | 5 dialogue turns | Multi-turn dialogue for financing daily reports usually focuses on details of that day's financing. A 5-turn window retains key questions and field verification information, avoiding context overflow. |
prompt_compression_threshold | 6000 characters | Automatically compress non-core fields when context length exceeds the threshold, adapting to the long context scenario of consumer building materials financing daily reports. |
CHAT_API_TIMEOUT | 30 seconds | Structured data parsing and recall require a certain amount of time. 30 seconds covers conventional data loading and dialogue generation processes. |
The parameter values provided on this page are conventional recommendations used as a starting point 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 dialogue interface prompts that no knowledge base is selected, but the debugging preview can normally return financing data. Cause: A dedicated knowledge base is not bound in the application configuration. Only temporary test data was loaded during debugging.
- Phenomenon: Calling the open dialogue API returns a 400 status code, with a prompt that chatId is invalid. Cause: The passed chatId is not bound to the current application's session permissions. Only conversation records created by the current API are supported.
- Phenomenon: Cross-category financing data for building materials is confused during multi-turn dialogue. Cause: The prompt does not explicitly limit processing only financing fields for consumer building material sub-categories, causing the model to call data from unrelated categories.
How to Confirm Proper Configuration
- Enter the application debugging interface, enter a question related to that day's consumer building materials financing, and check whether the returned data includes the latest daily entries.
- After configuring multi-user access permissions, use different accounts to initiate conversations, and check that each account can only view its own conversation history.
- Call the open dialogue API, pass the specified chatId, and check that the returned conversation data matches the records on the web interface.
- Adjust the context length parameter, initiate multiple consecutive questions, and check that the dialogue does not experience context overflow or information loss.
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.