What the data for this category looks like
State-owned industrial fund data primarily originates from internal investment research reports, project operation ledgers, compliance management documents, and employee office process documents. Investment research reports are updated irregularly as individual projects advance. Project ledgers are synchronized daily. Compliance documents are revised on a quarterly basis. Document formats include long-text research reports, structured CSV project ledgers, and standardized office forms. Fields cover project number, investment amount, exit date, return rate, approval process nodes, and more. Units include hundred million yuan, ten thousand yuan, percentage, and standard date format.
What constraints these characteristics impose on model access and configuration
The long-text nature of investment research reports requires adapting model access to long context windows to avoid truncating core research conclusions. Structured project ledgers have high field standardization, so indexing rules adapted to structured data must be configured to ensure accurate field matching. Data update frequencies vary significantly; real-time synchronized project ledgers require adjusting the index update cycle to maintain the timeliness of retrieved information. The standardized format of employee office documents requires configuring semantic recognition rules that match form fields to prevent recognition errors for key information such as approval process nodes.
How to set configurations
The following configurations are explained using FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Adapts to the context requirements of long-text investment research reports for state-owned industrial funds, avoiding truncation of core research conclusions |
maxTokens | 4000 token | Balances output length and response speed for employee consultation Q&A, adapting to the concise and efficient needs of office scenarios |
quoteMaxToken | 2000 token | Ensures that retrieved structured document fragments such as project ledgers and compliance files are fully passed to the model, ensuring accurate field information |
temperature | 0.3–0.5 | Reduces random output probability, meeting the rigor requirements for compliance and process-related office scenarios |
AIPROXY_API_ENDPOINT | Fill in the dedicated access address according to the deployment environment | Adapts to the internal network isolation requirements of state-owned industrial funds, ensuring data transmission security |
AIPROXY_API_TOKEN | Key bound with dedicated permissions | Meets identity authentication requirements of state-owned asset supervision, restricting unauthorized access |
Three common configuration mistakes
- Q&A results only return document fragments retrieved from the knowledge base, without calling online search to supplement the latest industry information. Cause: The
toolChoiceparameter is not configured asauto, or tool call permissions are not enabled, causing the model to only execute knowledge base retrieval logic. - After uploading a CSV project ledger file, the system prompts a chunking failure or index exception. Cause: After FastGPT version upgrades, the structured data chunking rules are updated, and the original CSV field encoding or delimiter does not match the new configuration.
- When using the voice interaction function, no voice transcription or synthesis results are returned. Cause: The selected model does not support audio and video processing capabilities, or related access parameters are not configured correctly, causing the function to fail to trigger.
How to verify successful configuration
- Upload standard documents from this category to confirm that the long context configuration loads content completely, with no truncation warnings.
- Submit queries related to structured fields to verify that retrieved results have accurate matching field information.
- Trigger tool call logic to confirm that online or other tools start normally per the configured settings.
- Upload structured data files to confirm that index construction completes without errors and field parsing matches expected outcomes.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.