What this data category looks like
Rural commercial bank investment research data primarily comes from regional regulatory policy documents, local credit ledgers, agricultural enterprise operation survey data, and local economic dynamic reports. Data update cycles cover daily, quarterly, and annual updates. Credit ledgers are updated daily, regulatory policies are updated upon release, and survey data is updated quarterly. Document structures include structured policy files with document numbers and effective dates, tabular ledgers with customer IDs, loan amounts, and maturity dates, and unstructured survey text with business addresses and revenue ranges. Field units include commonly used regional operating units such as ten thousand yuan, person-times, and mu.
What constraints these characteristics impose on the context and token workflow
The multi-source, heterogeneous nature of rural commercial bank investment research data requires the context window to accommodate structured ledger fields, long-text policy content, and fragmented regional survey information simultaneously. The token consumption of a single recalled document is higher than that of general scenarios. Incremental recalls from frequently updated data will additionally occupy context token space, so sufficient margin must be reserved. Survey documents with embedded images will generate additional image link tokens, and link lengths may exceed default limits, leading to truncation issues. The professional nature of regional data requires precise matching of recalled documents. Too many low-relevance documents will quickly exhaust context tokens.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000-12000 tokens | Rural commercial bank investment research data includes long-text policies and multi-field ledgers. Single recalled document token volume is high, so total token consumption of multiple recalled contents must be covered |
Max knowledge base citations | Top 6-8 entries | Rural commercial bank investment research data mostly consists of fragmented regional documents. Too many recalls will exceed the context window, while ensuring information coverage |
maxResponseTokens | 2000-3000 tokens | Investment research responses need to include long content such as regional policy interpretations and credit suggestions, so sufficient token space must be reserved for output |
Recall similarity threshold | 0.72-0.85 | Regional data for rural commercial banks has strong professional characteristics. Low-relevance general documents must be filtered to avoid invalid token consumption |
UPLOAD_FILE_MAX_SIZE | 100 MB | Most rural commercial bank investment research documents are batch regional survey reports. Single file volume is large, so batch upload requirements must be accommodated |
Chunk size | 1500-2000 characters | Rural commercial bank credit ledgers are tabular documents. Splitting must preserve field integrity to avoid information breakage |
The parameter values provided on this page 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 misconfigurations
- Phenomenon: Survey image links in the knowledge base are truncated in responses and cannot be accessed fully. Cause: The complete storage domain name for
IMAGE_DOMAIN_WHITELISTis not configured, or parameter configurations are incomplete. - Phenomenon: When calling an API-deployed investment research application, returned results do not include historical conversation context. Cause: The API request does not correctly carry the
historyparameter, or the application's conversation context switch is not enabled. - Phenomenon: After setting the
maxContextparameter, responses trigger a "context length exceeded limit" error, or insufficient valid documents are recalled. Cause: The parameter value does not match the token proportion of single documents in rural commercial bank investment research data, and insufficient token space is reserved for response content.
How to confirm configurations are properly set
- Upload a single rural commercial bank regional credit policy document, trigger an investment research query, and check if recalled document fragments are fully presented in the response with no token truncation prompts.
- Initiate an API request with two consecutive rounds of conversation, and check if returned results include context content from the first round of conversation with no information missing.
- Upload a survey report with embedded images, and check if image links in the response are complete and accessible normally.
- Adjust the
Max knowledge base citationsparameter, test total token volume of multi-document recalls, and confirm it does not exceed the value range ofmaxContext.
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.